CN110287908A - Calibration method, electronic equipment and non-volatile computer readable storage medium storing program for executing - Google Patents

Calibration method, electronic equipment and non-volatile computer readable storage medium storing program for executing Download PDF

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CN110287908A
CN110287908A CN201910573620.7A CN201910573620A CN110287908A CN 110287908 A CN110287908 A CN 110287908A CN 201910573620 A CN201910573620 A CN 201910573620A CN 110287908 A CN110287908 A CN 110287908A
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image
fingerprint
calibration
coefficient
fingerprint image
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CN110287908B (en
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占文喜
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor
    • G06V40/1318—Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing

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  • General Physics & Mathematics (AREA)
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  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Input (AREA)
  • Collating Specific Patterns (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

This application discloses a kind of calibration method, electronic equipment and non-volatile computer readable storage medium storing program for executing.Calibration method includes: to obtain the first fingerprint image according to finger print information；Interference pixel is determined according to the first fingerprint image and the first calibration image, and obtains the second fingerprint image of removal interference pixel；The first coefficient is determined according to the second fingerprint image, the first calibration image and the second calibration image；And the first fingerprint image is calibrated according to the first coefficient, to obtain third fingerprint image.Calibration method, electronic equipment and the non-volatile computer readable storage medium storing program for executing of the application determines interference pixel by the first fingerprint image of acquisition and the first calibration image and removes, so that the calculating of the first coefficient is more accurate.Situations such as calibrating the first fingerprint image according to the first coefficient corresponding with intrinsic brilliance, can remove because of screen aging, unlock background interface difference, leads to problems such as the fingerprint image signal-to-noise ratio of acquisition reduce and even TP cabling occurs, improve the accuracy rate of fingerprint recognition.

Description

Calibration method, electronic equipment and non-volatile computer readable storage medium storing program for executing
Technical field
This application involves technical field of mobile terminals, in particular to a kind of calibration method, electronic equipment and non-volatile meter Calculation machine readable storage medium storing program for executing.
Background technique
Optical finger print is relatively high to environment light and stability of layout requirement, needs in electronic equipment (such as smart phone, plate Computer etc.) factory before calibrated, such as using calibrate bright dark two fixed reflection surfaces of box differential calibration scheme can eliminate back Scape noise.But the factors such as electronic equipment display screen aging in actual use or unlock interface background difference, all can The variation of brightness when fingerprint induction region being caused to adopt figure will lead to signal letter if still subtracting fixed background bottom and making an uproar at this time It makes an uproar and is lost than (Signal Noise Ratio, SNR), or even occur touch panel (Touch in fingerprint recognition image Panel, TP) cabling formed grid, to reduce the accuracy rate of fingerprint recognition.
Summary of the invention
The application embodiment provides a kind of calibration method, electronic equipment and non-volatile computer readable storage medium Matter.
The calibration method of the application embodiment is applied to the electronic equipment including fingerprint recognition mould group, the fingerprint recognition Mould group includes obtaining the first fingerprint image according to the finger print information for acquiring finger print information, the calibration method；According to institute It states the first fingerprint image and the first calibration image determines interference pixel, and obtain described the second of the removal interference pixel Fingerprint image；The first coefficient is determined according to second fingerprint image, the first calibration image and the second calibration image, it is described First calibration image is the image that the light tone surface of acquisition calibration box obtains, and the second calibration image is that acquisition calibration box is dark-coloured The image that surface obtains, first coefficient are used to characterize the brightness change of the light source for acquiring fingerprint；And according to described One coefficient calibrates first fingerprint image, to obtain third fingerprint image.
The electronic equipment of the application embodiment includes fingerprint recognition mould group and processor, and the fingerprint recognition mould group is used for Acquire finger print information；The processor is used for: obtaining the first fingerprint image according to the finger print information；According to first fingerprint Image and the first calibration image determine interference pixel, and obtain second fingerprint image for removing the interference pixel； The first coefficient, first calibration are determined according to second fingerprint image, the first calibration image and the second calibration image Image is the image that the light tone surface of acquisition calibration box obtains, and the second calibration image is that acquisition calibration box dark coloured surface obtains Image, first coefficient is used to characterize the brightness change of light source for acquiring fingerprint；And according to first coefficient school Quasi- first fingerprint image, to obtain third fingerprint image.
The non-volatile computer readable storage medium storing program for executing comprising computer-readable instruction of the application embodiment, the meter When calculation machine readable instruction is executed by processor, so that the processor executes above-mentioned calibration method.
Calibration method, electronic equipment and the non-volatile computer readable storage medium storing program for executing of the application embodiment pass through acquisition The first fingerprint image and the first calibration image determine that interference and removes pixel, then according to eliminating the of interference pixel Two fingerprint images, the first calibration image and the second calibration image determine the first coefficient, due to eliminating the interference of interference pixel, Improve the calculating accuracy of the first coefficient.Moreover, the first fingerprint image is calibrated according to the first coefficient adapted to intrinsic brilliance, Situations such as can remove because of screen aging, unlock background interface difference, causes the signal-to-noise ratio of the fingerprint image of acquisition to reduce, or even refer to Occur the problem of TP walks wire grid in print image, improves the accuracy rate of fingerprint recognition.
The additional aspect and advantage of the application embodiment will be set forth in part in the description, partially will be from following Become obvious in description, or is recognized by the practice of the application.
Detailed description of the invention
The above-mentioned and/or additional aspect and advantage of the application can be from combining in description of the following accompanying drawings to embodiment It will be apparent and be readily appreciated that, in which:
Fig. 1 is the flow diagram of the calibration method of the application certain embodiments.
Fig. 2 is the structural schematic diagram of the electronic equipment of the application certain embodiments.
Fig. 3 is the fingerprint identification region of the application certain embodiments and the schematic diagram of display area.
Fig. 4 and Fig. 5 is the flow diagram of the calibration method of the application certain embodiments.
Fig. 6 is the schematic illustration of the calibration method of the application certain embodiments.
Fig. 7 and Fig. 8 is the flow diagram of the calibration method of the application certain embodiments.
Fig. 9 is the schematic diagram of projection of the pixel of the application certain embodiments in TP plane.
Figure 10 is the flow diagram of the calibration method of the application certain embodiments.
Figure 11 is the schematic cross-section of the display module of the application certain embodiments.
Figure 12 is the schematic illustration for fingerprint recognition of the display module of the application certain embodiments.
Figure 13 is the schematic perspective view of the display module of the application certain embodiments.
Figure 14 is the photosensitive layer of the application certain embodiments and the structural schematic diagram of imager chip.
Figure 15 is the photosensitive layer of the application certain embodiments and the structural schematic diagram of display driving layer.
Figure 16 is the planar structure schematic diagram of the second substrate of the application certain embodiments.
Figure 17 and Figure 18 is the side structure schematic view of the display module of the application embodiment.
Figure 19 is the non-volatile readable storage medium of the application certain embodiments and the interaction schematic diagram of processor.
Specific embodiment
Presently filed embodiment is described below in detail, the example of the embodiment is shown in the accompanying drawings, wherein identical Or similar label indicates same or similar element or element with the same or similar functions from beginning to end.Below by ginseng The embodiment for examining attached drawing description is exemplary, and is only used for explaining presently filed embodiment, and should not be understood as to this Shen The limitation of embodiment please.
It please refers to Fig.1 to Fig.3, the application provides a kind of calibration method.Calibration method is applied to include fingerprint recognition mould group 200 electronic equipment 1000, for acquiring finger print information, calibration method includes: fingerprint recognition mould group 200
011: the first fingerprint image is obtained according to finger print information；
012: interference pixel being determined according to the first fingerprint image and the first calibration image, and obtains removal interference pixel The second fingerprint image；
013: the first coefficient, the first calibration are determined according to the second fingerprint image, the first calibration image and the second calibration image Image is the image that the light tone surface of acquisition calibration box obtains, and the second calibration image is the figure that acquisition calibration box dark coloured surface obtains Picture, the first coefficient are used to characterize the brightness change of the light source for acquiring fingerprint；And
014: the first fingerprint image being calibrated according to the first coefficient, to obtain third fingerprint image.
The application also provides a kind of electronic equipment 1000.Electronic equipment 1000 includes fingerprint recognition mould group 200 and processor 300, processor 300 can be one or more.Processor 300 is used to obtain the first fingerprint image according to finger print information；According to One fingerprint image and the first calibration image determine interference pixel, and obtain the second fingerprint image of removal interference pixel；Root Determine that the first coefficient, the first calibration image are acquisition calibrations according to the second fingerprint image, the first calibration image and the second calibration image The image that the light tone surface of box obtains, the second calibration image are the images that acquisition calibration box dark coloured surface obtains, and the first coefficient is used In characterizing the brightness change for acquiring the light source of fingerprint；And the first fingerprint image is calibrated according to the first coefficient, to obtain third Fingerprint image.In other words, step 011, step 012, step 013 and step 014 can be realized by processor 300.It needs Bright: fingerprint recognition mould group 200 shown in Fig. 2 is merely representative of it and is arranged in electronic equipment 1000, can not explain its region Size and setting position, 200 area size of fingerprint recognition mould group are described below with setting position.
Wherein, electronic equipment 1000 can be mobile phone, tablet computer, laptop, intelligent wearable device (such as intelligent hand Table, Intelligent bracelet, intelligent helmet, intelligent glasses etc.), virtual reality device, display, automatic teller machine, game machine, intelligentized Furniture Etc..The application is illustrated so that electronic equipment 1000 is mobile phone as an example, it will be understood that the concrete form of electronic equipment 1000 is simultaneously It is not limited to mobile phone.
Please continue to refer to Fig. 2 and Fig. 3, fingerprint recognition mould group 200 can be optical finger print mould group.Electronic equipment 1000 also wraps Include display module 100.Fingerprint recognition mould group 200 is integrated in display module 100.Fingerprint recognition mould group 200 is corresponding in display mould Fingerprint identification region 912 in group 100 is located in the display area 911 of display module 100, specifically, fingerprint identification region The ratio of 912 area and the area of display area 911 is greater than predetermined ratio, for example predetermined ratio can be 15%, fingerprint recognition The ratio of the area of the area and display area 911 in region 912 can for 15%, 20%, 30%, 43%, 56%, 66.7%, 72%, 80%, 90%, 95%, 99%, 100% etc., when ratio value range be [15%, 100%) when, may be implemented Region fingerprint recognition (shown in (1) in Fig. 3)；When ratio be 100%, full frame fingerprint recognition ((2) institute in Fig. 3 may be implemented Show).At this point, fingerprint recognition mould group 200 can simultaneously identify multiple fingers for touching fingerprint identification region 912, and It is not to be only capable of identifying a finger.
Currently, when carrying out the acquisition of fingerprint image, when fingerprint recognition mould group 200 acquires fingerprint image, if on finger There are foreign matter, the partial pixel that will lead to the fingerprint image of acquisition can not really reflect corresponding finger print information, influence fingerprint image The accuracy of picture influences the calculating of image variance.To influence the calculating accuracy of subsequent first coefficient.
Specifically, fingerprint recognition mould group 200 acquires the finger print information of user first, and processor 300 is obtained according to finger print information Take the first fingerprint image.Then processor 300 determines interference pixel according to the first fingerprint image and the first calibration image.Its In, the first calibration image be the obtained image in light tone surface of acquisition calibration box, the first fingerprint image of comparison of processor 300 and the One calibration image, it may be determined that the region that signal value differs greatly.
It is appreciated that being all finger reflection when finger does not have foreign matter, when acquiring fingerprint, reflection coefficient is identical, therefore obtains The first fingerprint image in signal value be not much different, once and finger there are foreign matters, due to the reflection coefficient and finger of foreign matter Reflection coefficient there is some difference, will lead to the signal value in the corresponding region of foreign matter and the first calibration figure in the first fingerprint image The signal value difference of picture becomes larger.Therefore, processor 300 can be after comparing the first fingerprint image and the first calibration image really Determine the foreign matter region that signal value differs greatly, the pixel in foreign matter region is accordingly to be regarded as interference pixel, and interference pixel will affect The accuracy of first fingerprint image.Processor 300 can be by interference pixel removal, to obtain accurate second fingerprint image Picture, to may is that the interference pixel in the first fingerprint image is not involved in subsequent by the mode for interfering pixel to remove for processor 300 Image variance calculating, processor 300 will interfere the mode of pixel removal to may also is that using the flat of the first fingerprint image The signal value of equal signal value replacement interference pixel participates in the calculating of subsequent image variance, to reduce interference pixel to calculating The influence of image variance.
Currently, calibration program is to eliminate ambient noise by the calibration bright dark two reflecting surface differential signals of box.However, hand In machine use process, situations such as display screen aging conditions, unlock interface background difference, will lead to the acquisition of fingerprint induction region The brightness change of image, if at this time according further to fixed ambient noise go acquisition image will lead to acquisition image signal-to-noise ratio (Signal Noise Ratio, SNR), which is reduced, even there is the cabling image of touch screen (Touch Panel, TP), to reduce The accuracy rate of fingerprint recognition.
Therefore, after obtaining the second fingerprint image, processor 300 can according to the second fingerprint image, first calibration image and Second calibration image determines the first coefficient.Wherein, the second calibration image is to acquire to calibrate the image that box dark coloured surface obtains, first Coefficient is used to characterize the brightness change of the light source for acquiring fingerprint, such as maximum brightness can reach 100 when factory, with Display screen aging, the variation of unlock interface background etc., although user sets maximum brightness, brightness can only achieve 90, brightness Original 90% is decayed to, the first coefficient at this time can be 0.9, indicate that the brightness decay of the light source for acquiring fingerprint is 0.9.Light source for acquiring fingerprint can be the brightness+background luminance or other individual light sources of fingerprint induction region.The One calibration image and the second calibration image are collected under same light source brightness, the first calibration image and the second calibration Image is stored in electronic equipment 1000 when being factory.
Processor 300 uses the first different coefficients, and according to the second fingerprint image, the first calibration image and the second calibration Image obtains the fingerprint image after multiple calibrations, and according to the rudimentary knowledge of image, for image, image variance characterization is figure As uniformity coefficient, background process is more accurate, and variance is smaller, therefore when image variance minimum, and corresponding first coefficient is also Closest to actual conditions.Therefore, processor 300 can determine corresponding according to the smallest fingerprint image of image variance after calibration First coefficient, first coefficient can accurately indicate the attenuation of brightness.
Finally, processor 300 calibrates the first fingerprint image according to the first coefficient, screen aging, unlock can remove Influence of situations such as interface background the changes bring brightness decay to third fingerprint image is obtained, obtains more accurate third and refers to Print image.
First fingerprint image and first school of the calibration method and electronic equipment 1000 of the application embodiment by acquisition Quasi- image determines interference pixel and removes, then according to the second fingerprint image, the first calibration figure for eliminating interference pixel Picture and the second calibration image determine the first coefficient, due to eliminating the interference of interference pixel, improve the calculating of the first coefficient Accuracy.Moreover, calibrating the first fingerprint image according to the first coefficient adapted to intrinsic brilliance, can remove because of screen aging, solution Situations such as locking background interface difference leads to TP cabling occur in the signal-to-noise ratio reduction or even fingerprint image of the fingerprint image of acquisition The problem of grid, improves the accuracy rate of fingerprint recognition.
Fig. 2 and Fig. 4 are please referred to, in some embodiments, step 011 includes:
0111: initial fingerprint image is obtained according to finger print information；
0112: the finger-print region in initial fingerprint image is determined according to touch location；And
0113: the image in removal initial fingerprint image except finger-print region is to generate the first fingerprint image.
In some embodiments, processor 300 is also used to: obtaining initial fingerprint image according to finger print information；According to touching It touches position and determines finger-print region in initial fingerprint image；And the image in removal initial fingerprint image except finger-print region is with life At the first fingerprint image.In other words, step 0111, step 0112 and step 0113 can be realized by processor 300.
Specifically, when user presses fingerprint identification region 912, the dynamics according to user's pressing is different, finger and fingerprint The contact area of identification region 912 is different, and fingerprint recognition mould group 200 can acquire large range of fingerprint letter when acquiring finger print information It ceases (finger print information including contact portion and part non-contact part), processor 300 generates initial fingerprint according to finger print information Image guarantees that initial fingerprint image includes the finger print information of finger.But finger and fingerprint identification area are corresponded in initial fingerprint image There are larger differences for the fringe region reflection case in domain 91, will affect the accuracy of fingerprint recognition, therefore, it is necessary in initial fingerprint The higher finger-print region of laminating degree (central area generally centered on touch location) is chosen in image.Therefore, it handles Device 300 can determine a finger-print region in initial fingerprint image centered on touch location according to touch location, region it is big It is small can according to most users carry out fingerprint recognition when the higher finger-print region of laminating degree size determine (such as most people The higher area size of laminating degree when carrying out fingerprint recognition is 30 pixels × 30 pixels region).Wherein, touch location Determination can be realized according to the touch module 400 that electronic equipment 1000 includes.Specifically, touch module 400 is integrated in display module In 100, touch module 400 generates corresponding touching signals according to the touch action of user, such as touch module 400 is according to user Touch location it is different, issue different touching signals.Processor 300 can determine touch location according to touching signals.
After finger-print region has been determined, processor 300 removes the region outside finger-print region, will only include finger-print region Fingerprint image is as the first fingerprint image.In this way, the first fingerprint image is the higher finger-print region of finger laminating degree, first refers to The accuracy of print image is higher.
Fig. 2, Fig. 5 and Fig. 6 are please referred to, in some embodiments, step 0112 includes:
01121: determining that M finger-print region, M's the first finger-print region P1 is positive in initial fingerprint image according to touch location The range of integer, M finger-print region is greater than and covers M-1 finger-print region；
01122: M Local Deviation is calculated according to the sets of signal values of the first finger-print region P1 to M finger-print region；And
01123: determining that the corresponding region of the smallest Local Deviation is finger-print region in M Local Deviation.
In some embodiments, processor 300 is also used to: determining the first finger in initial fingerprint image according to touch location For line region P1 to M finger-print region, M is positive integer, and the range of M finger-print region is greater than and covers M-1 finger-print region；Root M Local Deviation is calculated according to the sets of signal values of the first finger-print region P1 to M finger-print region；And it determines in M Local Deviation The corresponding region of the smallest Local Deviation is finger-print region.In other words, step 01121, step 01122 and step 01123 can To be realized by processor 300.
Specifically, when determining finger-print region, the selection of area size is particularly important, and the region of selection is excessive, fingerprint region Domain can influence the accuracy of the first fingerprint image comprising the finger print information for the finger part that laminating degree is lower or even is not bonded, And if selection region is too small, although finger-print region include be the higher finger part of laminating degree finger print information, can The institute of the first fingerprint image can be led to without the pixel including the routing region enough touch panels (Touch Panel, TP) There is the difference of signal value too small, influences the calculating accuracy of subsequent image variance.
In the present embodiment, processor 300 can determine range is sequentially increased in initial fingerprint image according to touch location One region to the region M, M may be greater than 1 positive integer, and the range of M finger-print region is greater than and covers the fingerprint region M-1 Domain, the size of first area can be greater than or equal to 30 pixels × 30 pixels pixel coverage (that is, most users carry out fingerprint knowledge The higher finger-print region size of laminating degree when other).Processor 300 can be according to the first finger-print region P1 to M finger-print region Sets of signal values calculate M Local Deviation, each Local Deviation one finger-print region of correspondence.Referring to Fig. 6, in an example In, initial fingerprint image includes the first finger-print region P1, the second finger-print region P2, third finger-print region P3 and the 4th finger-print region The size of P4, the first finger-print region P1 are 30 pixels × 30 pixels, and the size of the second finger-print region P2 is 40 pixels × 40 pixels, The size of third finger-print region P3 is 50 pixels × 50 pixels, and the size of the 4th finger-print region P4 is 60 pixels × 60 pixels.Place It manages device 300 and first fingerprint region is calculated according to the sets of signal values (that is, sets of signal values of 900 pixels) of the first finger-print region P1 The Local Deviation of domain P1 is calculated according to the sets of signal values (that is, sets of signal values of 1600 pixels) of the second finger-print region P2 The Local Deviation of second finger-print region P2；According to the sets of signal values of third finger-print region P3 (that is, the signal value of 2500 pixels Set) calculate third finger-print region P3 Local Deviation etc.；According to the sets of signal values of the 4th finger-print region P4 (that is, 3600 The sets of signal values of a pixel) calculate the 4th finger-print region P4 Local Deviation.
After the Local Deviation that each finger-print region is calculated, the smallest Local Deviation in M Local Deviation is determined Corresponding region is finger-print region.It is appreciated that Local Deviation is smaller, the uniformity of the image of corresponding finger-print region is better, Therefore using the corresponding region of the smallest Local Deviation as finger-print region, it may make the big of finger-print region closer to actual conditions It is small more appropriate, under the premise of guaranteeing the accuracy of finger print information of finger-print region, so that finger-print region includes more TP Routing region.
Fig. 2 and Fig. 7 are please referred to, in some embodiments, step 012 includes:
0121: calculating the signal value difference of the first fingerprint image and the corresponding pixel of the first calibration image；
0122: determining that signal value difference is greater than the pixel of predetermined difference value for interference pixel；And
0123: obtaining the second fingerprint image of removal interference pixel.
In some embodiments, processor 300 is also used to: calculating the first fingerprint image and the first calibration image is corresponding The signal value difference of pixel；Determine that signal value difference is greater than the pixel of predetermined difference value for interference pixel；And obtain removal Interfere the second fingerprint image of pixel.In other words, step 0121, step 0122 and step 0123 can be by processors 300 It realizes.
Specifically, determining that processor 300 can calculate the first fingerprint image and the first calibration image pair when interfering pixel The signal value difference for the pixel answered；Then judge whether the signal value difference is greater than predetermined difference value, predetermined difference value can be according to institute There is the average value of the signal value difference of pixel to determine, for example, predetermined difference value is being averaged for the signal value difference of all pixels point 1.5 times, 2 times etc. of value.When signal value difference is greater than predetermined difference value, illustrate that the signal value of the pixel has seriously been more than flat Equal signal value difference, the pixel are considered as receiving the interference pixel that the light of the foreign matter reflection of finger is formed.Interfere pixel Point will affect the accuracy of the first fingerprint image.Processor 300 will generate after the interference pixel removal in first fingerprint image Second fingerprint image.In this way, processor 300 produces the second fingerprint image for not including interference pixel, interference pixel is not The calculating for participating in subsequent image variance, can be improved the calculating accuracy of the first coefficient.
Fig. 2 and Fig. 8 are please referred to, in some embodiments, step 013 includes: 0131: according to the letter of the second fingerprint image Number value matrix, the signal value matrix of the first calibration image, the second calibration image signal value matrix, first function and N group coefficient Determine N number of signal value matrix, every group of coefficient includes second coefficient and a third coefficient, N number of signal value matrix and N group Coefficient corresponds, and the second coefficient is used to characterize the brightness change of light source；0132: based on each letter in N number of signal value matrix N number of image variance is calculated in number value matrix and formula of variance；And 0133: by the minimum image variance pair in N number of image variance The second coefficient answered is as the first coefficient.
In some embodiments, processor 300 is also used to: according to the signal value matrix of the second fingerprint image, the first school The signal value matrix of quasi- image, the second signal value matrix, first function and N group coefficient for calibrating image determine N number of signal value square Battle array, every group of coefficient include second coefficient and a third coefficient, and N number of signal value matrix and N group coefficient correspond；Base N number of image variance is calculated in each signal value matrix and formula of variance in N number of signal value matrix；And by N number of image side Corresponding second coefficient of minimum image variance in difference is as the first coefficient.In other words, step 0131, step 0132 and step Rapid 0133 can be realized by processor 300.
Specifically, according to optical principle: the fingerprint original image signal of acquisition is reflected by screen internal reflection signal RL and finger Signal composition.The signal of finger reflection can be further divided into direct current component FDC(i.e. finger skin reflection signal) and AC portion FAC(i.e. the reflection signal of finger ridge paddy), then the signal of the second fingerprint image are as follows: Raw=RL+FDC+FAC；Assuming that optical finger print Hot spot brightness when the signal magnitude and Image Acquisition of image is in direct ratio；So Raw=k1RL+k1FDC+k1FAC；Assuming that finger The reflection of the optical reflection and calibration box of skin is close, it is assumed that the coefficient of the skin reflex of finger is k0, then Raw=k1RL+ k1k0(RH-RL)+k1FAC；Enable k2=k1k0, fAC=k1FAC, then Raw=k1RL+k2 (RH-RL)+fAC；So finger ridge paddy shape At AC signal are as follows: fAC=Raw-k1RL-k2(RH-RL)。
In the embodiment of the present application, by fAC=Raw-k1RL-k2(RH-RL) it is used as first function, wherein Raw second The signal value matrix of fingerprint image, RL are the signal value matrix of the first calibration image, and RH is the signal value square of the second calibration image Battle array, k1And k2Respectively the second coefficient and third coefficient.
Wherein, N group coefficient is as shown in table 1, as shown in Table 1, the second coefficient k1With third coefficient k2Be section [0,1] it Between any value.
Table 1
Second coefficient Third coefficient
0.0 0.0
0.0 0.1
…… ……
0.0 1.0
0.1 0.0
0.1 0.1
…… ……
0.1 1.0
…… ……
1.0 0.0
1.0 0.1
…… ……
1.0 1.0
From the foregoing, it will be observed that the signal value matrix of the first calibration image is substituted into the RH in first function, image is calibrated by second Signal value matrix substitute into the RL in first function, the signal value matrix of the second fingerprint image is substituted into the Raw in first function, Then N group coefficient is substituted into first function respectively again respectively, N number of f can be obtainedAC(i.e. N number of signal value matrix).
Wherein, the signal value matrix of the second fingerprint image is the signal value composition of each pixel based on the second fingerprint image 's.The signal value matrix of first calibration image is that the signal value of each pixel based on the first calibration image forms.Second school The signal value matrix of quasi- image is that the signal value of each pixel based on the second calibration image forms.The letter of second fingerprint image Number value matrix, the signal value matrix of the first calibration image, the second calibration image signal value matrix and determine obtained N number of signal As the line number of each signal value matrix in value matrix with columns is.It is appreciated that since the second fingerprint image eliminates Pixel is interfered, the average signal value replacement interference pixel of all pixels point in the second fingerprint image can be used in processor 300 The signal value of point, so that the signal value matrix of the second fingerprint image, the signal value matrix of the first calibration image, the second calibration image Signal value matrix as determining the line number of each signal value matrix in obtained N number of signal value matrix with columns and being； Processor 300 can also obtain the signal value matrix of the first calibration image, the signal value matrix of the second calibration image and determination N number of signal value matrix removed with the corresponding pixel of interference pixel so that the signal value matrix of the second fingerprint image, first It calibrates the signal value matrix of image, the signal value matrix of the second calibration image and determines every in obtained N number of signal value matrix The pixel of a signal value matrix is one-to-one.So, it is ensured that interference pixel has substantially no effect on image variance It calculates.
Wherein, the signal value matrix of the second fingerprint image includes matrix element j1, the signal value matrix packet of the first calibration image Matrix element j2 is included, the signal value matrix of the second calibration image includes matrix element j3, and signal value matrix K includes matrix element j4, matrix First j1, matrix element j2, the position of matrix element j3 and matrix element j4 in a matrix are consistent, and matrix element j1 is the second fingerprint image Signal value matrix in any one, matrix element j2 is any one in the signal value square of the first calibration image, matrix element J3 is any one in the signal value matrix of the second calibration image, and matrix element j4 is any one in signal value matrix K, letter Number value matrix K is any one in N number of signal value matrix.
Wherein, formula of variance are as follows: S=[(x1-Avg)2+...+(xm-Avg)2+(y1-Avg)2+…+(yn-Avg)2]/N, n+ M=N, Avg are average signal value, xiAnd yiIt is signal value, xiProjection S1 of the corresponding pixel in TP plane falls into no TP Routing region A1, yiProjection S2 of the corresponding pixel in TP plane has fallen into the routing region TP A2, specific as shown in Figure 9.
From the foregoing, it will be observed that respectively by Avg, x of each signal value matrix correlation in determining N number of signal value matrixiAnd yiGeneration Enter formula of variance, obtains N number of variance, the corresponding signal value matrix of each variance.As an example it is assumed that the signal determined Value matrix includes 5 matrix elements, such as matrix element Q, matrix element W, matrix element E, matrix element R and matrix element T, matrix element Q, matrix element The projection of E and the corresponding pixel of matrix element T in TP plane falls into no routing region TP, matrix element W and the corresponding picture of matrix element R Projection of the element in TP plane has fallen into the routing region TP, then the Avg=(Q+W+E+R+T)/5 of the signal value matrix correlation, The corresponding variance S=[(Q-Avg) of the signal value matrix2+(E-Avg)2+(T-Avg)2+(W-Avg)2+(R-Avg)2]/5.For For image, variance characterization is image uniform degree, and background process is more accurate, and variance is smaller, therefore when variance minimum, Its corresponding second coefficient is also closest to actual conditions.
It please refers to Fig. 2 and Figure 10, in some embodiments, calibration method further include: 015: obtaining current with light source First calibration image of brightness matching and the second calibration image.
In certain embodiments, processor 300 is also used to obtain and the matched first calibration image of the present intensity of light source And second calibration image.In other words, step 15 can be realized by processor 300.
Specifically, the first calibration image and the second calibration image are that just storage is good when electronic equipment 1000 dispatches from the factory, Before factory, producer acquires the corresponding first calibration image of all brightness ranges of electronic equipment 1000 and the second calibration image, such as Light-source brightness is up to 100, and producer acquires brightness from 1,2,3, the first calibration image when 100 change and the second calibration figure Picture.When determining the first coefficient according to the second fingerprint image, the first calibration image and the second calibration image, processor 300 is first obtained The present intensity (brightness that such as display screen is currently set) of light source is taken, then obtains corresponding first according to the present intensity of light source Calibration image and the second calibration image are prevented with calculating the first coefficient using the present intensity and unmatched first with light source Calibration image and second calibrates image to calculate error caused by the first coefficient.
Figure 11 and Figure 12 is please referred to, in some embodiments, display module 100 includes opposite display surface 91 and bottom surface 11, fingerprint recognition mould group 200 is arranged between display surface 91 and bottom surface 11, and fingerprint recognition mould group 200 includes photosensitive layer 201 and standard Straight unit 2021, collimation unit 2021 offer light hole 2022.Photosensitive layer 201 includes multiple photosensitive units 2011.Light hole 2022 can allow for optical signal to pass through to photosensitive unit 2011.Photosensitive layer 201 be used for receives include target optical signal at As optical signal, after target optical signal successively passes through display surface 91 and light hole 2022, the photosensitive unit of photosensitive layer 201 is reached 2011；Electronic equipment 1000 further includes noise obtaining module 500 (Figure 14 shows), and noise obtaining module 500 is set for obtaining electronics Noise signal in standby 1000；Processor 300 obtains the first fingerprint image according to imaging electric signal and noise signal.
In the present embodiment, wherein fingerprint recognition mould group 200 is optical finger print mould group, and optical finger print mould group includes photosensitive Layer 201 and collimation layer 202, collimation layer 202 include multiple collimation units 2021.Display module 100 includes that backlight layer 10, first is inclined Photosphere 20, first substrate 30, liquid crystal layer 50, the second substrate 60, the second polarizing layer 80 and cover board 90.Fingerprint recognition mould group 200 is set It sets between the display surface 91 and bottom surface 11 of display module 100, specifically, photosensitive layer 201 is arranged in first substrate 30 and liquid crystal Between layer 50, collimation layer 202 is arranged between the second substrate 60 and the second polarizing layer 80.Touch module 400 is integrated in display mould In group 100, specifically, touch module 400 be may be provided between cover board 70 and the second polarizing layer 80.Line in touch module 400 Road can receive light and display using the production of the transparent metal materials such as nanometer silver paste to avoid obtaining to optical finger print mould group Mould group 100 emits light and has an impact.
Incorporated by reference to Figure 13 and Figure 16, it is formed with multiple display units 61 in the second substrate 60 and is located at multiple display units 61 Between shading piece 62.Unthreaded hole 621 was offered on shading piece 62.Collimation unit 2021 offers light hole 2022, light hole 2022 and cross unthreaded hole 621 be aligned photosensitive unit 2011.Photosensitive unit 2011, which can receive, to be entered from the external world and successively passes through light hole 2022 and cross unthreaded hole 621 target optical signal, which is the reflected signal of finger by user, according to the mesh Mark optical signal can obtain the fingerprint image for touching the finger in display module 100, and fingerprint image can be used for fingerprint recognition.
Multiple photosensitive units 2011 in photosensitive layer 201 number can generate after receiving the letter of the imaging including target optical signal Electric signal is imaged.But photosignal is imaged other than including target optical signal, further includes interfering optical signal, infrared signal etc., Photosensitive unit 2011 can also generate noise signal when working, and therefore, electric signal be imaged in addition to including being generated by target optical signal Outside target electric signal, further include generated by interference optical signal interference electric signal, by infrared signal generate infrared electric signal, At least one of the noise electric signal generated by photosensitive unit 2011, the circuit noise signal generated by photosensitive unit 2011 Noise signal.For example, imaging electric signal includes target electric signal and interference two kinds of signals of electric signal；Alternatively, imaging electric signal packet Include three kinds of target electric signal, infrared electric signal, noise electric signal signals；Alternatively, imaging electric signal include target electric signal, it is infrared Four kinds of electric signal, noise electric signal, circuit noise signal signals；Alternatively, imaging electric signal includes target electric signal, interference telecommunications Number, five kinds of infrared electric signal, noise electric signal, circuit noise signal signals etc..
The accuracy of the fingerprint image of acquisition can be had an impact in imaging electric signal by the electric signal that noise signal generates, It further will affect the accuracy rate of fingerprint recognition.Therefore, the encrypting and decrypting method of the application embodiment passes through setting noise Obtaining module 500 obtains noise signal, after photosensitive layer 201 gets imaging electric signal, will be imaged in electric signal and remove mesh The electric signal removal formed by noise signal other than mark electric signal, to avoid the electric signal formed by noise signal to target Electric signal interferes, so that the fingerprint image that fingerprint recognition mould group 200 obtains is more accurate, is based on more accurate fingerprint image Fingerprint recognition is carried out, the accuracy rate and safety of fingerprint recognition can be also promoted.
Referring to Fig. 2, the electronic equipment 1000 of the application embodiment further includes casing 600.Casing 600 can be used for installing Display module 100, in other words, casing 600 can be used as the installation carrier of display module 100, and casing 600 can also be used to install electronics The functional modules such as power supply unit, imaging device, the communication device of equipment 1000 so that casing 600 for functional module provide shatter-resistant, The protection of waterproof etc..Display module 100 can be used for showing the images such as picture, video, text.Display module 100 is mounted on casing On 600.
Fig. 2 and Figure 11 are please referred to Figure 13, in one example, fingerprint recognition mould group 200 is optical finger print mould group, light Learning fingerprint mould group includes photosensitive layer 201 and collimation layer 202.Display module 100 includes the backlight layer 10 stacked gradually, the first polarisation Layer 20, first substrate 30, liquid crystal layer 50, the second substrate 60, the second polarizing layer 80 and cover board 90.Fingerprint can identify that mould group 200 is set It sets between the display surface 91 and bottom surface 11 of display module 100, specifically, photosensitive layer 201 is arranged in first substrate 30 and liquid crystal Between layer 50, collimation layer 202 is arranged between the second substrate 60 and the second polarizing layer 80.
As shown in FIG. 11 and 12, backlight layer 10 can be used for emitting optical signal La or backlight layer 10 and can be used for leading The optical signal La that light lead source (not shown) issues.Optical signal La sequentially passes through the first polarizing layer 20, first substrate 30, photosensitive layer 201, liquid crystal layer 50, the second substrate 60, collimation layer 202, the second polarizing layer 80, touch module 400 and cover board are after 90s into outer Boundary.Backlight layer 10 includes bottom surface 11, and specifically, bottom surface 11 can be surface opposite with the first polarizing layer 20 in backlight layer 10.
First polarizing layer 20 is arranged in backlight layer 10, and the first polarizing layer 20 specifically can be polarizing film or polarizing coating.The One substrate 30 is arranged on the first polarizing layer 20, and first substrate 30 can be glass substrate.
Photosensitive layer 201 can be the film layer being produced on first substrate 30, such as pass through TFT (Thin Film Transistor) technique is produced on first substrate 30.Figure 13 to Figure 15 is please referred to, photosensitive layer 201 includes multiple photosensitive units 2011 and multiple circuit units 2012.
Photosensitive unit 2011 can use photoelectric effect and convert electric signal for the optical signal received, photosensitive by parsing The intensity for the electric signal that unit 2011 generates can reflect the intensity for the optical signal that photosensitive unit 2011 receives.In an example In, photosensitive unit 2011 can receive visible light signal only to be converted into electric signal, in another example, photosensitive unit 2011 Black light can be received only to be converted into electric signal, in another example, photosensitive unit 2011 can receive visible light and Black light is to be converted into electric signal.The type of multiple photosensitive units 2011 can be identical, the type of multiple photosensitive units 2011 It can also be not exactly the same.Multiple photosensitive units 2011 can be arranged in an arbitrary manner, multiple photosensitive units 2011 Arrangement mode specifically can the demands such as shape according to display module 100 set, it is in the embodiment of the present application, multiple photosensitive Unit 2011 is arranged in array, such as multiple photosensitive units 2011 line up the matrix of multiple lines and multiple rows.Each photosensitive unit 2011 is It can work independently without being influenced by other photosensitive units 2011, the optical signal that the photosensitive unit 2011 of different location receives Intensity may be different, therefore the intensity of electric signal that the photosensitive unit 2011 of different location generates may also be different.In addition, photosensitive Reflectorized material has can be set in the side towards bottom surface 11 of unit 2011, and the light of photosensitive unit 2011 is irradiated to from backlight layer 10 Signal can be reflected by reflectorized material, and the part optical signals is avoided to influence the accuracy that photosensitive layer 201 is imaged.
Circuit unit 2012 can be connect with photosensitive unit 2011.Circuit unit 2012 can generate photosensitive unit 2011 Electric signal transmission to electronic equipment 1000 processor 300.Circuit unit 2012 can specifically include the elements such as transistor.Electricity The quantity of road unit 2012 can be to be multiple, and each photosensitive unit 2011 can connect in a corresponding circuit unit 2012 On, multiple circuit units 2012 are connect by connecting line with processor 300.The arrangement mode of multiple circuit units 2012 can be with The arrangement mode of photosensitive unit 2011 is similar, such as multiple photosensitive units 2011 are arranged in the matrix of multiple lines and multiple rows, multiple circuits Unit 2012 can also be arranged in the matrix of multiple lines and multiple rows.
Figure 11 to Figure 13 is please referred to, liquid crystal layer 50 is arranged on photosensitive layer 201, and the liquid crystal molecule in liquid crystal layer 50 is in electric field Under the action of can be changed deflection direction, and then change can pass through the amount of the optical signal of liquid crystal layer 50.Correspondingly, incorporated by reference to Figure 15, Display driving layer 1a can also be made on first substrate 30, display driving layer 1a makees in the driving of driving chip (not shown) Electric field can be applied to liquid crystal layer 50 under, to control the deflection direction of the liquid crystal molecule of different location.Specifically, display driving Layer 1a includes multiple display driver element 1a1, and each display driver element 1a1 can independently control the liquid crystal of corresponding position Deflect direction.
Figure 11, Figure 13 and Figure 16 are please referred to, the second substrate 60 is arranged on liquid crystal layer 50.The second substrate 60 may include glass The multiple display units 61 and shading piece 62 of glass substrate and setting on the glass substrate.Display unit 61 can be colorized optical filtering Piece, for example, R indicates infrared fileter, G indicates that green color filter, B indicate blue color filter, by controlling across different colours Optical filter optical signal amount, to control the color that display module 100 is finally shown.The arrangement mode of multiple display units 61 Can be corresponding with the arrangement mode of multiple display driver element 1a1, such as a display unit 61 and a display driver element 1a1 alignment.
Shading piece 62 is between display unit 61, and shading piece 62 is spaced two adjacent display units 61, in an example In son, shading piece 62 can be black matrix" (Black Matrix, BM).The entity part of shading piece 62 can prevent light It passes through, enters the external world without display unit 61 to avoid the light in display module 100, shading piece 62 can also prevent When passing through adjacent display unit 61 optical crosstalk phenomenon occurs for optical signal.
Incorporated by reference to Figure 12, unthreaded hole 621 was offered on shading piece 62, crossing unthreaded hole 621 can be used for passing through for optical signal.Cross light The position in hole 621 is aligned with photosensitive unit 2011, wherein alignment can refer to that the center line of unthreaded hole 621 passed through photosensitive unit 2011.Optical signal was during passing through unthreaded hole 621, if optical signal reached the inner wall of unthreaded hole 621, optical signal meeting The inner wall section for being crossed unthreaded hole 621 is absorbed or is all absorbed, and is enabled to across the direction of propagation for the optical signal for crossing unthreaded hole 621 Almost it is overlapped with the extending direction for the center line for crossing unthreaded hole 621.The distribution mode for crossing unthreaded hole 621 can be with photosensitive unit 2011 Distribution mode it is identical so that each photosensitive unit 2011 with one cross unthreaded hole 621 be aligned.
Figure 11 to Figure 13 is please referred to, collimation layer 202 is arranged in the second substrate 60.Collimating layer 202 includes that multiple collimations are single Member 2021, collimation unit 2021 offer light hole 2022, and light hole 2022 is directed at photosensitive unit 2011.Specifically, light hole 2022 can also be aligned with unthreaded hole 621 is crossed, that is, and the center line of light hole 2022 can be overlapped with the center line for crossing unthreaded hole 621, Optical signal pass through light hole 2022 after, be then passed through unthreaded hole 621 to reach photosensitive unit 2011.The material of collimation unit 2021 can With identical as the material of shading piece 62, such as collimation unit 2021 is made with shading piece 62 of light absorbent, and optical signal reaches When the entity part of collimation unit 2021, optical signal can be partially absorbed or all absorb, for example, optical signal reaches collimation unit When 2021 side wall or optical signal reaches the inner wall of light hole 2022, optical signal is collimated unit 2021 and absorbs, so that passing The optical signal that direction is overlapped with the extending direction of the center line of light hole 2022 is broadcast to be obtained through light hole 2022 and reach photosensitive Unit 2011 realizes that the collimation to optical signal, the interference optical signal that photosensitive unit 2011 receives are less.Multiple collimation units 2021 can be located in shading piece 62 in the orthographic projection in the second substrate 60, so that collimation unit 2021 will not block display list Member 61 guarantees that display module 100 has preferable display effect.
The extending direction of light hole 2022 can be perpendicular to display surface 91, so that light hole 2022 is only capable of through propagation side To the optical signal vertical with display surface 91, in other words, light hole 2022 is only capable of by propagating vertically downward from display surface 91 Optical signal.The ratio of the depth of the cross-sectional width and light hole 2022 of light hole 2022 is less than 0.2, wherein light hole 2022 Depth can be light hole 2022 along the depth of centerline direction, the cross-sectional width of light hole 2022 can be light hole 2022 by The maximum of the figure cut perpendicular to the plane of center line across size, ratio specifically can be 0.1,0.111,0.125, 0.19, the numerical value such as 0.2, so that collimation unit 2021 is preferable to the collimating effect of optical signal.
In one example, collimation layer 202 further includes matrix 2023, and matrix 2023 can be basic light transmission, and collimation is single Member 2021 is formed on matrix 2023.In another example, collimation layer 202 can only include collimation unit 2021, and collimation is single Member 2021 can be formed in the second substrate 60 by modes such as plated film, sputterings.
For the setting of second polarizing layer 80 on collimation layer 202, the second polarizing layer 80 specifically can be polarizing film or polarizing coating.
Please continue to refer to Figure 11 and Figure 12, cover board 90 is arranged on the second polarizing layer 80.Cover board 90 can be by glass, Lan Bao The materials such as stone are made.Cover board 90 includes display surface 91 and the back side 92.After the optical signal that display module 100 issues passes through display surface 91 Into the external world, extraneous light enters display module 100 after passing through display surface 91.The back side 92 can be pasted with the second polarizing layer 80 It closes.In some examples, display module 100 can not also include cover board 90, and display surface 91 is formed in the second polarizing layer 80 at this time On.
Display surface 91 is formed with display area 911, and display area 911 refers to the region for being displayed for image, viewing area Domain 911 can be in the shapes such as the rectangle of rectangle, circle, round rectangle, band " fringe ", and this is not restricted.In addition, in some examples In son, display surface 91 also could be formed with non-display area, and non-display area can be formed in the peripheral position of display area 911, non- Viewing area can be used for being attached with casing 600.On display surface 91 accounting of display area 911 can for 80%, 90%, Any numbers such as 100%.
In the embodiment of the present application, multiple photosensitive units 2011 are located in display area 911 in the orthographic projection of display surface 91. So that multiple photosensitive units 2011 can be imaged the object touched in display area 911, finger is used for user For the example for touching display area 911, multiple photosensitive units 2011 can be to the finger for touching the finger on display area 911 Line is imaged, and is used for fingerprint recognition.
Figure 11 and Figure 12 is please referred to, will be described by way the detail that display module 100 is imaged: display module below The 100 optical signal La issued sequentially pass through the first polarizing layer 20, first substrate 30, photosensitive layer 201, liquid crystal layer 50, the second substrate 60, collimate layer 202, the second polarizing layer 80, touch module 400 and cover board it is after 90s enter extraneous, extraneous optical signal may also be according to It is secondary pass through cover board 90, touch module 400, the second polarizing layer 80, collimation layer 202, the second substrate 60, reach after liquid crystal layer 50 it is photosensitive Layer 201.If optical signal reaches exactly on the photosensitive unit 2011 in photosensitive layer 201, photosensitive unit 2011 can generate telecommunications Number to reflect the intensity of the optical signal.As a result, by the intensity of the electric signal of multiple photosensitive units 2011, can reflect into aobvious Show the strength distribution of the optical signal of mould group 100.
By user by taking finger 2000 touches display surface 91 as an example.When display module 100 is sending out optical signal La, hand Refer to 2000 predetermined positions for touching display surface 91, finger 2000 can carry out optical signal La to reflect to form L1, and optical signal L1 is subsequent Display module 100 is initially entered, optical signal L1 initially passes through cover board 90 and the second polarizing layer 80, for the direction of propagation and light hole 2022 and cross unthreaded hole 621 extending direction identical optical signal L1, optical signal L1 can also pass through light hole 2022 and cross unthreaded hole After 621, optical signal L1 pass through light hole 2022 and cross unthreaded hole 621, optical signal L1 reaches photosensitive unit after being then passed through liquid crystal layer 50 2011.For the different optical signal of extending direction of the direction of propagation and light hole 2022 or unthreaded hole 621 excessively, optical signal passes through lid Plate 90 and the second polarizing layer are after 80s, and optical signal by light hole 2022 or can not cross unthreaded hole 621, and then can not reach and light hole 2022 and cross unthreaded hole 621 be aligned photosensitive unit 2011.
It is appreciated that there are wave crests and trough for finger print, and when finger 2000 touches display surface 91, wave crest and display surface 91 Directly contacting, there are gaps between trough and display surface 91, after optical signal La reaches wave crest and trough, the optical signal of peak reflection The intensity for the optical signal (calling the second optical signal in the following text) that the intensity of (calling the first optical signal in the following text) is reflected with trough has differences, and then makes The electric signal (calling the first electric signal in the following text) generated due to receiving the first optical signal is obtained to generate with due to receiving the second optical signal The intensity of electric signal (calling the second electric signal in the following text) have differences, processor 300 is according to the first electric signal and the second electric signal Distribution situation, the image of available fingerprint.The image of the fingerprint can be further used for carrying out fingerprint recognition.
It is appreciated that user touches in the overlying regions for being arbitrarily provided with photosensitive unit 2011, can reach pair The purpose that fingerprint is imaged and is identified.When 911 lower section of display area is correspondingly arranged on photosensitive unit 2011, user is aobvious Show that any position in region 911 is touched, can achieve the purpose that fingerprint is imaged and is identified, and is not limited to show Certain specific positions in region 911.Meanwhile user can also touch multiple positions on display area 911 simultaneously with multiple fingers Set or the multiple fingers of multiple users while touching multiple positions on display area 911, with realize to multiple fingerprints into Row is imaged and the purpose that identifies, in this way, the verification mode and applicable scene of electronic equipment 1000 can be enriched, such as only when Multiple fingerprints are just authorized after passing through verifying simultaneously.
Certainly, with user with finger touch touch module 400 when similarly, any object (example for being capable of reflecting light signal La The arm of such as user, forehead, clothing, flowers and plants) touch touch module 400 after can to the surface texture of the object carry out at Picture, the subsequent processing carried out to imaging can be set according to user demand, and this is not restricted.
Figure 14 and Figure 17 is please referred to, in some embodiments, noise signal includes interference optical signal L2, and noise obtains mould Group 500 includes veiling glare photosensitive unit 501.Ink layer 93, veiling glare photosensitive unit 501 and ink are provided on the back side 92 of cover board 90 The position of layer 93 is corresponding, and ink layer 93 is used to obstruct the optical signal Lb for penetrating cover board 90 from the external world.
In actual use, it is directly pierced by from display surface 91 from the signal portions issued in backlight layer 10, part meeting One or many reflections are carried out between display surface 91 and backlight layer 10, and part reflected optical signal L2 may reach sense Light unit 2011 simultaneously interferes the imaging of display module 100.That is, further including interference in the imaging optical signal for imaging Optical signal L2, interference optical signal L2 are reflected by display module 100 and reach the photosensitive unit 2011 on photosensitive layer 201.
Position corresponding with veiling glare photosensitive unit 501 is provided with ink layer 93 on the above-mentioned back side 92, in display module 100 Light is largely absorbed by ink layer 93 after reaching the ink layer 93, and fraction (such as 4%) is reflected by ink layer 93, by this Ink layer 93 can simulate cover board 90 to the reflex of the optical signal inside display module 100, in addition, veiling glare photosensitive unit 501 are also possible to receive the optical signal L2 from the side of veiling glare photosensitive unit 501 to arrival veiling glare photosensitive unit 501.It is comprehensive next It sees, veiling glare photosensitive unit 501 can receive the interference optical signal L2 same with remaining photosensitive unit 2011, and simultaneously, ink Layer 93 can obstruct the optical signal Lb that (reflection or absorption) penetrates cover board 90 from the external world, so that veiling glare photosensitive unit 501 only receives To interference optical signal L2, remaining photosensitive unit 2011 can then receive interference optical signal L2 simultaneously, and penetrate cover board from the external world 90 optical signal Lb.
The type and performance of veiling glare photosensitive unit 501 and remaining photosensitive unit 2011 are all the same, and veiling glare photosensitive unit 501 will For the interference electric signal transmission generated by interference optical signal L2 to processor 300, processor 300 will be according to the interference in imaging Electric signal is corrected image, such as will be imaged after the imaging electric signal that optical signal generates subtracts interference electric signal and be used as finally The accuracy rate of image recognition is improved for the electric signal of imaging to obtain the higher image of accuracy.
In one example, veiling glare photosensitive unit 501 and remaining photosensitive unit 2011 are ccd image sensor, at this point, Imaging electric signal can be carried out with subtracting each other for electric signal of interference in processor 300, i.e. imaging electric signal and interference electric signal is equal It is sent in processor 300, electric signal will be imaged by, which being executed by processor 300, subtracts the operation of interference electric signal, alternatively, electricity is imaged Signal can also be carried out with subtracting each other for electric signal of interference in analog-digital converter, i.e., imaging electric signal is first passed with interference electric signal It send into analog-digital converter, electric signal will be imaged and subtract the operation of interference electric signal by being executed by analog-digital converter, then by the two phase The electric signal obtained after subtracting is sent in processor 300.In another example, veiling glare photosensitive unit 501 and remaining photosensitive list Member 2011 is cmos image sensor, at this point, imaging electric signal and interfere electric signal subtract each other can in processor 300 into Row, i.e. imaging electric signal and interference electric signal are sent in processor 300, are executed by processor 300 and are subtracted imaging electric signal Go interference electric signal operation, alternatively, imaging electric signal and interfere electric signal subtract each other can also in photosensitive unit 2011 into It goes, the first memory block, the second memory block and the powered down road of logic, the imaging that photosensitive unit 2011 generates is added in photosensitive unit 2011 Electric signal is stored in the first memory block, and interference electric signal is sent to photosensitive unit 2011 by veiling glare photosensitive unit 501 and is stored In the second memory block, the powered down road of logic will execute after the operation that electric signal subtracts interference electric signal being imaged, then the two is subtracted each other The electric signal obtained afterwards is sent in processor 300.The above-mentioned description subtracted each other for imaging electric signal and interference electric signal is only For example, it should not be understood as the limitation to the application.
In one example, overleaf 92 position by proximal edge is arranged in ink layer 93, and veiling glare photosensitive unit 501 is located at The marginal position of photosensitive layer 201.Such as veiling glare photosensitive unit 501 is set, wherein the region a is located in the region a as shown in figure 14 On one column of the leftmost side of 2011 array of photosensitive unit of Figure 14 and a column of the rightmost side.Avoid ink layer 93 to display module 100 display effect causes too much influence.Specifically, photosensitive unit 2011 can arrange in the matrix of multiple lines and multiple rows, veiling glare The marginal position in the matrix can be set in photosensitive unit 501, such as close to a column to three column for matrix edge, close matrix side A line of edge is to three rows, to adapt to the position of ink layer 93.
Further, since veiling glare photosensitive unit 501 has multiple, multiple interference electric signals, Duo Gegan can correspondingly be generated Disturb electric signal size may it is inconsistent, then, will be imaged electric signal subtract interfere electric signal when, in one example, can To be averaged to multiple interference electric signals, then will be imaged electric signal subtract be averaged after obtained interference electric signal.At another In example, subregion can be carried out respectively to photosensitive unit 2011 and veiling glare photosensitive unit 501, each region includes at least one sense Light unit 2011 or including at least one veiling glare photosensitive unit 501.It then, can be according to each comprising photosensitive unit 2011 The position in the position in region (calling first area in the following text) and each region (calling second area in the following text) comprising veiling glare photosensitive unit 501 It sets to determine with each first area at a distance of nearest second area.For each of each first area photosensitive unit 2011, the imaging electric signal that each photosensitive unit 2011 can be generated is subtracted with the first area at a distance of the secondth nearest area The interference electric signal that veiling glare photosensitive unit 501 in domain generates is to obtain each photosensitive unit 2011 eventually for the electricity of imaging Signal, if in second area veiling glare photosensitive unit 501 number be it is multiple, can be first to multiple miscellaneous in the second area Multiple interference electric signals that light sensation light unit 501 generates take mean value, then will imaging electric signal subtract the mean value obtain eventually for The electric signal of imaging.It is appreciated that veiling glare photosensitive unit 501 is with photosensitive unit 2011 at a distance of closer, veiling glare photosensitive unit 501 The amount for interfering optical signal received with photosensitive unit 2011 is also more close, and the interference electric signal of generation is also more close, is inciting somebody to action It is also more accurate that imaging electric signal subtracts the electric signal for imaging finally obtained after interference electric signal.
Figure 14 and Figure 18 is please referred to, in some embodiments, noise signal includes that photosensitive unit 2011 itself generates Noise electric signal.Noise obtaining module 500 includes noise photosensitive unit 502.Display module 100 further includes lightproof unit 2024, Lightproof unit 2024 is arranged on collimation unit 2021, and lightproof unit 2024 is used to block to be aligned with noise photosensitive unit 502 Light hole 2022.
In use, the temperature of photosensitive unit 2011 or the temperature of environment can change, and as temperature becomes Change, the performance of photosensitive unit 2011 may change, and lead to the electric signal generated when the optical signal for receiving same intensity Also inconsistent, therefore, when being imaged, need to interfere being corrected caused by temperature change.
In present embodiment, the type and performance of noise photosensitive unit 502 and remaining photosensitive unit 2011 are all the same, shading Unit 2024 blocks light hole 2022, so that noise photosensitive unit 502 does not almost receive optical signal.Noise photosensitive unit 502 Electric signal can be generated in use, but since noise photosensitive unit 502 does not almost receive optical signal, noise sense The electric signal that light unit 502 generates can be considered the noise telecommunications for causing photosensitive unit 2011 to generate because of material and temperature change Number.At this point, remaining photosensitive unit 2011 can then generate noise electric signal simultaneously, and imaging optical signal is received to generate imaging Electric signal.Noise photosensitive unit 502 will make an uproar noise electric signal transmission to processor 300, processor 300 in imaging according to this Acoustoelectric signal is corrected image, such as will be imaged after the imaging electric signal that optical signal generates subtracts noise electric signal and be used as most The electric signal for imaging improves the accuracy rate of image recognition to obtain the higher image of accuracy eventually.
Specifically, lightproof unit 2024 can also be made of light absorbent, and lightproof unit 2024 can be filled in light hole In 2022, lightproof unit 2024 can be fabricated together with collimation unit 2021.In one example, lightproof unit 2024 It can be arranged directly on noise photosensitive unit 502, so that noise photosensitive unit 502 is received entirely less than optical signal.Noise Photosensitive unit 502 can be set in the region by proximal edge of 2011 array of photosensitive unit, and noise photosensitive unit 502 can also be with The region adjacent with veiling glare photosensitive unit 501 is set, such as can be located in matrix one arranges to three column, or is located at matrix For interior a line to three rows, this is not restricted, and noise photosensitive unit 502 is arranged in the region b shown in Figure 14, wherein the region b position In the secondary series from left to right of 2011 array of photosensitive unit of Figure 14 and from right to left on secondary series.
Further, since noise photosensitive unit 502 has multiple, multiple noise electric signals can be correspondingly generated, it is multiple to make an uproar The size of acoustoelectric signal may be inconsistent, then, it, in one example, can when that electric signal will be imaged and subtract noise electric signal To be averaged to multiple noise electric signals, then will be imaged electric signal subtract be averaged after obtained noise electric signal.At another In example, subregion can be carried out respectively to photosensitive unit 2011 and noise photosensitive unit 502, each region includes at least one sense Light unit 2011 or including at least one noise photosensitive unit 502.It then, can be according to each comprising photosensitive unit 2011 The position in the position in region (calling first area in the following text) and each region (calling third region in the following text) comprising noise photosensitive unit 502 It sets to determine with each first area at a distance of nearest third region.For each of each first area photosensitive unit 2011, the imaging electric signal that each photosensitive unit 2011 can be generated is subtracted with the first area at a distance of nearest third area The noise electric signal that noise photosensitive unit 502 in domain generates is to obtain each photosensitive unit 2011 eventually for the electricity of imaging Signal, if in third region the number of noise photosensitive unit 502 be it is multiple, can first make an uproar to multiple in the third region Multiple noise electric signals that phonoreception light unit 502 generates take mean value, then will imaging electric signal subtract the mean value obtain eventually for The electric signal of imaging.It is appreciated that noise photosensitive unit 502 is with photosensitive unit 2011 at a distance of closer, noise photosensitive unit 502 Also more close with the temperature of photosensitive unit 2011, the noise electric signal of generation is also more close, makes an uproar electric signal will be imaged subtracting The electric signal for imaging finally obtained after acoustoelectric signal is also more accurate.
Figure 14 is please referred to, in some embodiments, circuit unit 2012 includes photosensitive circuit unit 20121 and noise electricity Road unit 20122, photosensitive circuit unit 20121 are connect with photosensitive unit 2011, are not connected on Noise Circuits unit 20122 photosensitive Unit 2011.
For photosensitive circuit itself there are hardware noise, which will lead to circuit noise signal, circuit noise signal meeting Therefore the intensity for influencing the electric signal for being finally transferred to processor 300 when being imaged, needs to make circuit noise signal At interference be corrected.
In present embodiment, photosensitive unit 2011, Noise Circuits unit 20122 are not connected on Noise Circuits unit 20122 The circuit noise signal of upper generation is the hardware noise for Noise Circuits unit 20122 itself.Noise Circuits unit 20122 The circuit noise signal is transmitted to processor 300, processor 300 in imaging will according to the circuit noise signal to image into Row correction, such as the imaging electric signal that optical signal generates will be imaged and subtract after circuit noise signal as the electricity eventually for imaging Signal improves the accuracy rate of image recognition to obtain the higher image of accuracy.
Specifically, multiple circuit units 2012 can be in the array arrangement of multiple lines and multiple rows, and Noise Circuits unit 20122 is at least Complete a line and a complete column are arranged in, so that Noise Circuits unit 20122 has in any a line and any one column Distribution, Noise Circuits unit 20122 generate circuit noise signal sample more comprehensively, according to the circuit noise signal to image When being corrected, the effect of correction is more preferable.Noise Circuits unit 20122, which also can be set, to be lined up in multiple circuit units 2012 The marginal position of array, or be arranged close to above-mentioned veiling glare photosensitive unit 501 and noise photosensitive unit 502.Noise Circuits list The distribution of member 20122 can cover a complete column to five column, and the complete a line of covering and not limit herein to the five-element System.In example as shown in figure 14, Noise Circuits unit 20122 is set, wherein the region c is located in the region c of photosensitive layer 201 In the column of third from left to right of 2012 array of circuit unit of Figure 14, from right to left third column, a line of top side and a line of lower side.
Further, since Noise Circuits unit 20122 has multiple, multiple circuit noise signals can be correspondingly generated, it is more The size of a circuit noise signal may be inconsistent, then, when that electric signal will be imaged and subtract circuit noise signal, in an example In son, multiple circuit noise signals can be averaged, then will be imaged electric signal subtract be averaged after obtained circuit noise believe Number.In another example, subregion, each region can be carried out respectively to photosensitive unit 2011 and Noise Circuits unit 20122 Including at least one photosensitive unit 2011 or including at least one Noise Circuits unit 20122.It then, can be according to each packet The position in the region (calling first area in the following text) containing photosensitive unit 2011 and each region comprising Noise Circuits unit 20122 The position of (calling the fourth region in the following text) is determined with each first area at a distance of nearest the fourth region.For in each first area Each photosensitive unit 2011, the imaging electric signal that each photosensitive unit 2011 can be generated subtracts and the first area The circuit noise signal that Noise Circuits unit 20122 in nearest the fourth region generates is to obtain each photosensitive unit 2011 eventually for imaging electric signal, if in the fourth region Noise Circuits unit 20122 number be it is multiple, can be first Mean value is taken to multiple circuit noise signals that multiple Noise Circuits units 20122 in the fourth region generate, then will imaging electricity Signal subtracts the mean value and obtains the electric signal eventually for imaging.
Figure 14 is please referred to, in some embodiments, noise signal includes infrared signal.Noise obtaining module 500 is wrapped Multiple infrared photosensitive units 503 are included, infrared photosensitive unit 503 is for detecting infrared light.
Since there are infrared lights in external environment, and infrared light may penetrate certain objects and enter display module 100.Example Such as, infrared light may penetrate the finger of user, pass through display surface 91, light hole 2022 and cross unthreaded hole 621 and by photosensitive unit 2011 receive, and the part infrared light and the fingerprint of user be not relevant, which generates Infrared electric signal interfere when processor 300 can be imaged.Therefore, it when being imaged, needs to believe infrared light Interference caused by number is corrected.
Infrared photosensitive unit 503 can only receive infrared signal, and generate infrared electric signal according to infrared signal, remaining Photosensitive unit 2011 can receive infrared signal and visible light signal simultaneously, and generate according to infrared signal and visible light signal Electric signal is imaged.Infrared electric signal is further transmitted to processor 300, and processor 300 will be according to the infrared telecommunications in imaging Number image is corrected, for example, will be imaged the imaging electric signal that optical signal generates subtract after infrared electric signal as eventually for The electric signal of imaging improves the accuracy rate of image recognition to obtain the higher image of accuracy.
Specifically, multiple infrared photosensitive units 503 can be spaced apart, such as be evenly distributed on 2011 array of photosensitive unit Interior, infrared photosensitive unit 503 ratio shared in photosensitive unit 2011 can be smaller, such as accounts for 1%, 7%, 10% etc..Please In conjunction with Figure 12, when user touches display surface 91, touch module 400 can sense the position touched, and processor 300 is read The infrared electric signal for taking the infrared photosensitive unit 503 of one or more corresponding with the position touched to generate, and it is infrared according to this Electric signal is corrected image.
In addition, in some embodiments, infrared photosensitive unit 503 can also be not provided with, but in photosensitive layer 201 and shown Show and infrared cut coating is set between face 91, such as infrared cut coating setting in the second substrate 60 and collimates between layer 202, infrared section Only film is higher to the transmitance of visible light, can achieve 90% or more, and lower to the transmitance of infrared signal, to prevent Extraneous infrared signal reaches photosensitive unit 2011.
Further, since infrared photosensitive unit 503 has multiple, multiple infrared electric signals, Duo Gehong can correspondingly be generated The size of outer electric signal may be inconsistent, then, it, in one example, can when that electric signal will be imaged and subtract infrared electric signal To be averaged to multiple infrared electric signals, then will be imaged electric signal subtract be averaged after obtained infrared electric signal.At another In example, subregion can be carried out respectively to photosensitive unit 2011 and infrared photosensitive unit 503, each region includes at least one sense Light unit 2011 or including at least one infrared photosensitive unit 503.It then, can be according to each comprising photosensitive unit 2011 The position in region (calling first area in the following text) and each position in the region (calling the 5th region in the following text) comprising infrared photosensitive unit 503 It sets to determine with each first area at a distance of the 5th nearest region.For each of each first area photosensitive unit 2011, the imaging electric signal that each photosensitive unit 2011 can be generated is subtracted with the first area at a distance of the 5th nearest area The infrared electric signal that infrared photosensitive unit 503 in domain generates is to obtain each photosensitive unit 2011 eventually for the electricity of imaging Signal, if in the 5th region infrared photosensitive unit 503 number be it is multiple, can be first to multiple red in the 5th region Multiple infrared electric signals that outer photosensitive unit 503 generates take mean value, then will imaging electric signal subtract the mean value obtain eventually for The electric signal of imaging.It is appreciated that infrared photosensitive unit 503 is with photosensitive unit 2011 at a distance of closer, infrared photosensitive unit 503 Also more close with the amount for the infrared light of photosensitive unit 2011 received, the infrared electric signal of generation is also more close, will be at As to subtract the electric signal for imaging finally obtained after infrared electric signal also more accurate for electric signal.
Figure 14 is please referred to, the photosensitive list of veiling glare photosensitive unit 501, noise can also be set simultaneously on the same photosensitive layer 201 Member 502, Noise Circuits photosensitive unit 20122 and infrared photosensitive unit 503 so that processor 300 processing electric signal with into When row imaging, while doing in view of above-mentioned interference electric signal, noise electric signal, circuit noise signal and infrared electric signal etc. Factor is disturbed, to obtain accurate image.
Veiling glare photosensitive unit 501, noise photosensitive unit 502, noise electricity can also be set simultaneously on the same photosensitive layer 201 It is any one or more in road unit 20122 and infrared photosensitive unit 503, for example, simultaneously be arranged veiling glare photosensitive unit 501 with Noise photosensitive unit 502, processor 300 will carry out school to image according to interference electric signal and noise electric signal in imaging at this time Just, for example, will be imaged optical signal generate imaging electric signal subtract interference electric signal and noise electric signal after as eventually at The electric signal of picture.For another example veiling glare photosensitive unit 501 and Noise Circuits unit 20122 are arranged simultaneously, processor 300 exists at this time Image will be corrected according to interference electric signal and circuit noise signal when imaging, such as the imaging that optical signal generation will be imaged Electric signal subtract interference electric signal and circuit noise signal after as the electric signal eventually for imaging.For another example being arranged simultaneously Noise Circuits unit 20122 and infrared photosensitive unit 503, at this time processor 300 in imaging will according to circuit noise signal and Infrared signal is corrected image, such as the imaging electric signal that optical signal generates will be imaged and subtract circuit noise signal and red As the electric signal eventually for imaging after outer electric signal.For another example noise photosensitive unit 502, Noise Circuits list are arranged simultaneously Member 20122 and infrared photosensitive unit 503, at this time processor 300 in imaging will according to noise electric signal, circuit noise signal and Infrared signal is corrected image, such as subtracts noise electric signal, circuit for the imaging electric signal that optical signal generates is imaged As the electric signal eventually for imaging after noise signal and infrared electric signal.For another example veiling glare photosensitive unit is arranged simultaneously 501, noise photosensitive unit 502, Noise Circuits unit 20122 and infrared photosensitive unit 503, processor 300 is in imaging at this time Image will be corrected according to interference electric signal, noise electric signal, circuit noise signal and infrared signal, such as will imaging The imaging electric signal that optical signal generates is made after subtracting interference electric signal, noise electric signal, circuit noise signal and infrared electric signal For the electric signal etc. eventually for imaging.
Figure 15 is please referred to, in some embodiments, multiple display driver element 1a1 are in the array arrangement of multiple lines and multiple rows, Multiple photosensitive units 2011 are in the array arrangement of multiple lines and multiple rows, positioned at the display driver element 1a1 of same a line or same row and sense The effective time of light unit 2011 is interspersed.
Specifically, in production, display driving layer 1a can be first manufactured on first substrate 30, is then driven again in display Photosensitive layer 201 is manufactured on layer 1a.Display driver element 1a1 and the interval of photosensitive unit 2011 are arranged.In an array, may have multiple Photosensitive unit 2011 and multiple display driver element 1a1 are located at same a line or same row simultaneously, positioned at same a line or same row Display driver element 1a1 and the effective time of photosensitive unit 2011 are interspersed.In example as shown in figure 15, it is located at figure Multiple display driver element 1a1 of bottom a line are worked at the same time in 15, and multiple photosensitive units 2011 of bottom a line are same When work, and the working time of multiple display driver element 1a1 and the working time of multiple photosensitive units 2011 do not intersect, and reduce The interference for the display driver element 1a1 that photosensitive unit 2011 is subject at work, improves the accuracy of imaging.
Figure 19 is please referred to, the application also provides a kind of non-volatile computer readable storage medium storing program for executing 2000.Non-volatile meter Calculation machine readable storage medium storing program for executing 2000 includes computer-readable instruction.When computer-readable instruction is executed by processor 3000, so that Processor 3000 executes encrypting and decrypting method described in above-mentioned any one embodiment.
For example, incorporated by reference to Fig. 1 and Fig. 2, when computer-readable instruction is executed by processor 3000, so that processor 3000 is held Row following steps: 011: the first fingerprint image is obtained according to finger print information；012: being schemed according to the first fingerprint image and the first calibration As determining interference pixel, and obtain the second fingerprint image of removal interference pixel；013: according to the second fingerprint image, first Calibration image and the second calibration image determine that the first coefficient, the first calibration image are the figures that the light tone surface of acquisition calibration box obtains Picture, the second calibration image are the images that acquisition calibration box dark coloured surface obtains, and the first coefficient is for characterizing for acquiring fingerprint The brightness change of light source；And 014: the first fingerprint image being calibrated according to the first coefficient, to obtain third fingerprint image.
For another example incorporated by reference to Fig. 2 and 4, when computer-readable instruction is executed by processor 3000, so that processor 3000 is held Row following steps: 0111: initial fingerprint image is obtained according to finger print information；0112: initial fingerprint figure is determined according to touch location Finger-print region as in；And 0113: the image in removal initial fingerprint image except finger-print region is to generate the first fingerprint image.
For another example incorporated by reference to Fig. 2, Fig. 5 and Fig. 6, when computer-readable instruction is executed by processor 3000, so that processor 3000 execution following steps: 01121: determining in initial fingerprint image the first finger-print region P1 to N fingerprint according to touch location Region, N are positive integer, and the range of N finger-print region is greater than and covers N-1 finger-print region；01122: according to the first fingerprint region The sets of signal values of domain P1 to N finger-print region calculates N number of Local Deviation；And 01123: determining the smallest in N number of Local Deviation The corresponding region of Local Deviation is finger-print region.
In the description of this specification, reference term " embodiment ", " some embodiments ", " schematically implementation The description of mode ", " example ", specific examples or " some examples " etc. means the tool described in conjunction with the embodiment or example Body characteristics, structure, material or feature are contained at least one embodiment or example of the application.In the present specification, Schematic expression of the above terms are not necessarily referring to identical embodiment or example.Moreover, the specific features of description, knot Structure, material or feature can be combined in any suitable manner in any one or more embodiments or example.In addition, In the case where not conflicting, those skilled in the art can by different embodiments or examples described in this specification and The feature of different embodiments or examples is combined.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion Point, and the range of the preferred embodiment of the application includes other realization, wherein can not press shown or discussed suitable Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be by the application Embodiment person of ordinary skill in the field understood.
Although presently filed embodiment has been shown and described above, it is to be understood that above embodiment is Illustratively, it should not be understood as the limitation to the application, those skilled in the art within the scope of application can be right Above embodiment is changed, modifies, replacement and variant.

Claims (12)

1. a kind of calibration method, which is characterized in that applied to the electronic equipment including fingerprint recognition mould group, the fingerprint recognition mould Group includes: for acquiring finger print information, the calibration method
The first fingerprint image is obtained according to the finger print information；
Interference pixel is determined according to first fingerprint image and the first calibration image, and obtains the removal interference pixel The second fingerprint image；
The first coefficient is determined according to second fingerprint image, the first calibration image and the second calibration image, described first Calibration image is the image that the light tone surface of acquisition calibration box obtains, and the second calibration image is acquisition calibration box dark coloured surface Obtained image, first coefficient are used to characterize the brightness change of the light source for acquiring fingerprint；And
First fingerprint image is calibrated according to first coefficient, to obtain third fingerprint image.
2. calibration method according to claim 1, which is characterized in that described to obtain the first fingerprint according to the finger print information Image, comprising:
Initial fingerprint image is obtained according to the finger print information；
The finger-print region in the initial fingerprint image is determined according to touch location；And
The image except finger-print region described in the initial fingerprint image is removed to generate first fingerprint image.
3. calibration method according to claim 1, which is characterized in that described according to first fingerprint image and the first school Quasi- image determines interference pixel, and obtains the second fingerprint image for removing the interference pixel, comprising:
Calculate the signal value difference of first fingerprint image and the corresponding pixel of the first calibration image；
The pixel for determining that the signal value difference is greater than predetermined difference value is the interference pixel；And
Obtain second fingerprint image of the removal interference pixel.
4. calibration method according to claim 1, which is characterized in that it is described according to second fingerprint image, described One calibration image and the second calibration image determine the first coefficient, comprising:
According to the signal value matrix of second fingerprint image, the signal value matrix of the first calibration image, second school Signal value matrix, first function and the N group coefficient of quasi- image determine that N number of signal value matrix, every group of coefficient include one second Coefficient and a third coefficient, N number of signal value matrix and N group coefficient correspond, and second coefficient is for characterizing institute State the brightness change of light source；
Based in N number of signal value matrix each signal value matrix and formula of variance N number of image variance is calculated；And
Using corresponding second coefficient of the minimum image variance in N number of image variance as first coefficient.
5. calibration method according to claim 1, which is characterized in that the calibration method further include:
It obtains and the matched first calibration image of the present intensity of the light source and the second calibration image.
6. a kind of electronic equipment, which is characterized in that the electronic equipment includes fingerprint recognition mould group and processor, and the fingerprint is known Other mould group is for acquiring finger print information；The processor is used for:
The first fingerprint image is obtained according to the finger print information；
Interference pixel is determined according to first fingerprint image and the first calibration image, and obtains the removal interference pixel The second fingerprint image；
The first coefficient is determined according to second fingerprint image, the first calibration image and the second calibration image, described first Calibration image is the image that the light tone surface of acquisition calibration box obtains, and the second calibration image is acquisition calibration box dark coloured surface Obtained image, first coefficient are used to characterize the brightness change of the light source for acquiring fingerprint；And
First fingerprint image is calibrated according to first coefficient, to obtain third fingerprint image.
7. electronic equipment according to claim 6, which is characterized in that the processor is also used to:
Initial fingerprint image is obtained according to the finger print information；
The finger-print region in the initial fingerprint image is determined according to touch location；And
The image except finger-print region described in the initial fingerprint image is removed to generate first fingerprint image.
8. electronic equipment according to claim 6, which is characterized in that the processor is also used to:
Calculate the signal value difference of first fingerprint image and the corresponding pixel of the first calibration image；
The pixel for determining that the signal value difference is greater than predetermined difference value is the interference pixel；And
Obtain second fingerprint image of the removal interference pixel.
9. electronic equipment according to claim 6, which is characterized in that the processor is also used to:
According to the signal value matrix of second fingerprint image, the signal value matrix of the first calibration image, second school Signal value matrix, first function and the N group coefficient of quasi- image determine that N number of signal value matrix, every group of coefficient include one second Coefficient and a third coefficient, N number of signal value matrix and N group coefficient correspond, and second coefficient is for characterizing institute State the brightness change of light source；
Based in N number of signal value matrix each signal value matrix and formula of variance N number of image variance is calculated；And
Using corresponding second coefficient of the minimum image variance in N number of image variance as first coefficient.
10. electronic equipment according to claim 6, which is characterized in that the processor is also used to:
It obtains and the matched first calibration image of the present intensity of the light source and the second calibration image.
11. electronic equipment according to claim 6, which is characterized in that the electronic equipment further includes display module, described Display module includes opposite display surface and bottom surface, the fingerprint recognition mould group setting the display surface and the bottom surface it Between, the fingerprint recognition mould group includes photosensitive layer and collimation unit, and the collimation unit offers light hole, and the photosensitive layer is used In receiving the imaging optical signal including target optical signal to form imaging electric signal, the target optical signal successively passes through described aobvious After showing face and the light hole, the photosensitive layer is reached；The display module further includes noise obtaining module, and the noise obtains Mould group is used to obtain the noise signal in the electronic equipment；The processor is believed according to the imaging electric signal and the noise Number obtain first fingerprint image.
12. a kind of non-volatile computer readable storage medium storing program for executing comprising computer-readable instruction, the computer-readable instruction When being executed by processor, so that the processor perform claim requires calibration method described in 1-5 any one.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112101194A (en) * 2020-01-21 2020-12-18 神盾股份有限公司 Electronic device and operation method thereof
CN112990163A (en) * 2021-05-18 2021-06-18 深圳阜时科技有限公司 Fingerprint calibration method, electronic device and storage medium
CN113903300A (en) * 2021-10-12 2022-01-07 维沃移动通信有限公司 Display panel, calibration method, calibration device and electronic equipment
CN116311396A (en) * 2022-08-18 2023-06-23 荣耀终端有限公司 Method and device for fingerprint identification

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110187679A1 (en) * 2010-02-01 2011-08-04 Acer Incorporated Optical touch display device and method thereof
CN107292832A (en) * 2017-05-17 2017-10-24 努比亚技术有限公司 A kind of method and apparatus for realizing finger print information processing
CN107657240A (en) * 2017-10-09 2018-02-02 上海天马微电子有限公司 Display device, fingerprint identification calibration method thereof and electronic equipment
CN108323206A (en) * 2018-02-06 2018-07-24 深圳市汇顶科技股份有限公司 Finger print data processing method and processing device, computer readable storage medium
CN109241859A (en) * 2018-08-13 2019-01-18 Oppo广东移动通信有限公司 Fingerprint identification method and Related product
CN109389071A (en) * 2018-09-29 2019-02-26 京东方科技集团股份有限公司 Fingerprint detection method and fingerprint image compensation method and device, electronic device
CN109934211A (en) * 2019-03-11 2019-06-25 Oppo广东移动通信有限公司 The calibration method and relevant apparatus of fingerprint

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110187679A1 (en) * 2010-02-01 2011-08-04 Acer Incorporated Optical touch display device and method thereof
CN107292832A (en) * 2017-05-17 2017-10-24 努比亚技术有限公司 A kind of method and apparatus for realizing finger print information processing
CN107657240A (en) * 2017-10-09 2018-02-02 上海天马微电子有限公司 Display device, fingerprint identification calibration method thereof and electronic equipment
CN108323206A (en) * 2018-02-06 2018-07-24 深圳市汇顶科技股份有限公司 Finger print data processing method and processing device, computer readable storage medium
CN109241859A (en) * 2018-08-13 2019-01-18 Oppo广东移动通信有限公司 Fingerprint identification method and Related product
CN109389071A (en) * 2018-09-29 2019-02-26 京东方科技集团股份有限公司 Fingerprint detection method and fingerprint image compensation method and device, electronic device
CN109934211A (en) * 2019-03-11 2019-06-25 Oppo广东移动通信有限公司 The calibration method and relevant apparatus of fingerprint

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112101194A (en) * 2020-01-21 2020-12-18 神盾股份有限公司 Electronic device and operation method thereof
CN112990163A (en) * 2021-05-18 2021-06-18 深圳阜时科技有限公司 Fingerprint calibration method, electronic device and storage medium
CN112990163B (en) * 2021-05-18 2021-08-06 深圳阜时科技有限公司 Fingerprint calibration method, electronic device and storage medium
CN113903300A (en) * 2021-10-12 2022-01-07 维沃移动通信有限公司 Display panel, calibration method, calibration device and electronic equipment
CN113903300B (en) * 2021-10-12 2023-06-02 维沃移动通信有限公司 Display panel, calibration method, calibration device and electronic equipment
CN116311396A (en) * 2022-08-18 2023-06-23 荣耀终端有限公司 Method and device for fingerprint identification
CN116311396B (en) * 2022-08-18 2023-12-12 荣耀终端有限公司 Method and device for fingerprint identification

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