CN106529481A - Fingerprint identification parameter configuration device and method - Google Patents
Fingerprint identification parameter configuration device and method Download PDFInfo
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- CN106529481A CN106529481A CN201610998717.9A CN201610998717A CN106529481A CN 106529481 A CN106529481 A CN 106529481A CN 201610998717 A CN201610998717 A CN 201610998717A CN 106529481 A CN106529481 A CN 106529481A
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
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Abstract
The invention discloses a fingerprint identification parameter configuration device and method. According to the method, at a pre-configured current fingerprint identification security level, a current fingerprint feature template is updated through self-learning, and when the updated fingerprint feature template satisfies a preset requirement, reconfiguring the fingerprint identification security level to be a new fingerprint identification security level; and the fingerprint feature template is constantly updated and expanded through self-learning, thereby improving fingerprint identification rate during fingerprint identification, and greatly improving user experience during fingerprint identification of a user. When the fingerprint feature template meets the preset requirement, the fingerprint identification security level is reconfigured, thereby realizing fingerprint identification through improvement of the security level, satisfying a requirement of the user for the fingerprint identification security level, satisfying a requirement for the fingerprint identification rate, and solving the problem in the prior art that the identification rate and security level cannot meet the requirements of the user at the same time in the fingerprint identification process.
Description
Technical field
The present invention relates to communication technical field, more particularly, it relates to a kind of fingerprint recognition parameter configuration device and its side
Method.
Background technology
Used as one of existing biological identification technology, its application is also more prevalent to fingerprint identification technology, especially at end
On the unlocking function and work attendance application at end.At present, fingerprint recognition has become a kind of standard configuration of existing mobile terminal, particularly
In smart mobile phone, device application function is even more extensive, specifically includes the unblock of screen, the startup of application function and mobile-phone payment
Etc. all employ fingerprint identification technology, wherein, the important indicator of fingerprint recognition includes the speed of fingerprint recognition, discrimination, peace
Congruent level, three key elements are the emphasis parameters for lifting mobile phone users experience.
Discrimination includes two important parameters, refuses sincere (False Rejection Rate, FRR) and accuracy of system identification (False
Accept Rate, FAR)；Refuse sincere to refer to that the error that identical fingerprint is mistakenly considered different fingerprints and is refused is general
Rate；Accuracy of system identification refers to the error probability that different fingerprints are mistakenly considered identical fingerprints.Discrimination is related with sincere FRR is refused, safety
Grade is related with accuracy of system identification FAR, and refuses sincere FRR, accuracy of system identification FAR inverse correlations, i.e., " check on " tighter, and safe class is required
Height, accuracy of system identification FAR require low, then refusing sincere FRR may be just high, affects recognition success rate.
In the prior art, the algorithm for recognizing fingerprint for using on mobile terminal is examined using fixed safe class
Identification is surveyed, specifically, mobile terminal arranged corresponding safe class before producing first, then when user uses, according to
Default safe class gathers the fingerprint feature information specified of user input, and storage is in the terminal；Finally, user makes
When being unlocked with fingerprint recognition, user is input into fingerprint feature information to be verified in the fingerprint input area in terminal, will be to be verified
The fingerprint feature information stored in fingerprint characteristic checking information and mobile terminal is compared, if comparative result is consistent, really
Recognize unblock.But, the above-mentioned fingerprint recognition safe class identical adopted during storage and unblock.Because existing will
High-grade safe class is realized, the discrimination of its fingerprint recognition will be realized improving discrimination, then need to reduce safety than relatively low
Grade, both is opposed, therefore, cannot also realize in prior art that all very high fingerprint of safe class and discrimination is known
Not, so as to the safety that result in existing fingerprint recognition is relatively low, its Consumer's Experience is relatively low.
The content of the invention
The invention provides a kind of fingerprint recognition parameter configuration devices and methods therefor, so that solve can not be same in prior art
The high discriminations of Shi Shixian and high safety grade get both, so as to the security performance and Consumer's Experience that cause fingerprint recognition are relatively low
Technical problem.
For solving above-mentioned technical problem, the present invention provides a kind of fingerprint recognition parameter configuration device, and described device includes：Learn
Module and the first configuration module is practised, wherein：
Study module, for, under the current finger print identification safe class being pre-configured with, updating current by self study
Fingerprint characteristic template, the fingerprint characteristic template after renewal refuse sincere for improving；
First configuration module, when meeting preset requirement for fingerprint characteristic template in the updated, reconfigures the finger
Stricture of vagina identification safe class is new fingerprint recognition safe class, than described current under the new fingerprint recognition safe class
Accuracy of system identification under fingerprint recognition safe class is higher.
Alternatively, the study module is used for multi collect fingerprint feature point, and the characteristic point to gathering each time is known
Not, real features point is identified, the real features point that will identify that is added to the template characteristic point of current fingerprint characteristic template
In set, the fingerprint characteristic template after the renewal is obtained.
Alternatively, first configuration module is in the template characteristic set of the fingerprint characteristic template after the renewal
The quantity of template characteristic point when being equal to or more than preset value, it is that new fingerprint is known to reconfigure the fingerprint recognition safe class
Other safe class.
Alternatively, described device also includes the second configuration module, for before terminal is dispatched from the factory, or is used in terminal
At the initial stage, fingerprint recognition safe class is configured to into the current finger print identification safe class, described current finger print identification safety etc.
Refuse sincere higher than accuracy of system identification under level.
Alternatively, if five grades of fingerprint recognition safety status classification, the current finger print identification safe class is second
Level, the new fingerprint recognition safe class are the fourth stage.
Alternatively, the invention provides a kind of fingerprint recognition method for parameter configuration, is applied to terminal, methods described includes：
Under the current finger print identification safe class being pre-configured with, current fingerprint characteristic template is updated by self study,
Fingerprint characteristic template after renewal refuses sincere for improving；
If the fingerprint characteristic template after the renewal meets preset requirement, the fingerprint recognition safe class is reconfigured
For new fingerprint recognition safe class, than in current finger print identification safety etc. under the new fingerprint recognition safe class
Accuracy of system identification under level is higher.
Alternatively, it is described current fingerprint characteristic template is updated by self study to include：
Multi collect fingerprint feature point, the fingerprint feature point to gathering each time are identified, and identify real features point,
The real features point that will identify that is added in the template characteristic point set of current fingerprint characteristic template, after obtaining the renewal
Fingerprint characteristic template.
Alternatively, the fingerprint characteristic template after the renewal meets preset requirement includes：Fingerprint characteristic after the renewal
The quantity of the template characteristic point in the template characteristic point set of template is equal to or more than preset value.
Alternatively, methods described also includes：Before the terminal is dispatched from the factory, or the terminal is used the initial stage, will be referred to
Stricture of vagina identification safe class is configured to the current finger print identification safe class, refuses sincere under the current finger print identification safe class
It is higher than accuracy of system identification.
Alternatively, if five grades of fingerprint recognition safety status classification, the current finger print identification safe class is second
Level, the new fingerprint recognition safe class are the fourth stage.
The invention has the beneficial effects as follows：
The fingerprint recognition parameter configuration devices and methods therefor that the present invention is provided, methods described is first by being pre-configured with
Under current finger print identification safe class, current fingerprint characteristic template is updated by self study, the fingerprint characteristic module after renewal
Refuse sincere for improving, when the fingerprint characteristic template after the renewal meets preset requirement, reconfigure the fingerprint recognition
Safe class is new fingerprint recognition safe class, than knowing in the current finger print under the new fingerprint recognition safe class
The accuracy of system identification of other safe class is higher；The present invention is continuously updated expansion fingerprint characteristic template by self study, if fingerprint characteristic
When template meets preset requirement, fingerprint recognition safe class is reconfigured, it is achieved thereby that carrying out fingerprint recognition
During, fingerprint recognition can be identified by improving safe class, while fingerprint when also improving fingerprint recognition is known
Not other rate, in solving the problems, such as prior art, user cannot realize that in using fingerprint identification process discrimination, safe class get both,
Both requirement of the user to fingerprint recognition safe class had been met, the requirement to fingerprint recognition rate has also been met, is substantially increased use
The Experience Degree at family.
Description of the drawings
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing：
Fig. 1 is the hardware architecture diagram for realizing the optional mobile terminal of each embodiment one of the invention.
A kind of structured flowchart of the fingerprint recognition parameter configuration device that Fig. 2 is provided for present example.
Another kind of structured flowchart of the fingerprint recognition parameter configuration device that Fig. 3 is provided for present example.
A kind of flow chart of the fingerprint recognition method for parameter configuration that Fig. 4 is provided for present example.
Another kind of flow chart of the fingerprint recognition method for parameter configuration that Fig. 5 is provided for present example.
Specific embodiment
It should be appreciated that specific embodiment described herein is not intended to limit the present invention only to explain the present invention.
The mobile terminal of each embodiment of the invention is realized referring now to Description of Drawings.In follow-up description, use
For representing the suffix of such as " module ", " part " or " unit " of element only for being conducive to the explanation of the present invention, itself
Not specific meaning.Therefore, " module " mixedly can be used with " part ".
Mobile terminal can be implemented in a variety of manners.For example, the terminal described in the present invention can include such as moving
Phone, smart phone, notebook computer, digit broadcasting receiver, PDA (personal digital assistant), PAD (panel computer), PMP
The mobile terminal of (portable media player), guider etc. and such as numeral TV, desk computer etc. are consolidated
Determine terminal.Hereinafter it is assumed that terminal is mobile terminal, however, it will be understood by those skilled in the art that, except being used in particular for movement
Outside the element of purpose, construction according to the embodiment of the present invention can also apply to the terminal of fixed type.
Fig. 1 is the hardware architecture diagram for realizing the optional mobile terminal of each embodiment one of the invention.
Mobile terminal 1 00 can include that wireless communication unit 110, user input unit 120, sensing unit 130, output are single
Unit 140, memorizer 150, controller 160 and power subsystem 170 etc..Fig. 1 shows the mobile terminal with various assemblies, but
It is to should be understood that, it is not required that implement all components for illustrating, can alternatively implement more or less of component, will be under
Face describes the element of mobile terminal in detail.
Wireless communication unit 110 generally includes one or more assemblies, and which allows mobile terminal 1 00 and wireless communication system
Or the radio communication between network.For example, wireless communication unit can include mobile communication module 111, wireless Internet mould
At least one of block 112, short range communication module 113 and location information module 114.
Mobile communication module 111 sends radio signals to base station (for example, access point etc.), exterior terminal and clothes
Business at least one of device and/or receive from it radio signal.Such radio signal can include voice call signal,
Video calling signal or the various types of data for sending and/or receiving according to text and/or Multimedia Message.
Wireless Internet module 112 supports the Wi-Fi (Wireless Internet Access) of mobile terminal.The module can be internally or externally
It is couple to terminal.Wi-Fi (Wireless Internet Access) technology involved by the module can including WLAN (WLAN) (Wi-Fi), Wibro
(WiMAX), Wimax (worldwide interoperability for microwave accesses), HSDPA (high-speed downlink packet access) etc..
Short range communication module 113 is the module for supporting junction service.Some examples of short-range communication technology include indigo plant
Tooth TM, RF identification (RFID), Infrared Data Association (IrDA), ultra broadband (UWB), purple honeybee TM etc..
Location information module 114 is the module for checking or obtaining the positional information of mobile terminal.Location information module
Typical case be GPS (global positioning system).According to current technology, GPS module 114 is calculated from three or more satellites
Range information and correct time information and for calculate Information application triangulation, so as to according to longitude, latitude
Three-dimensional current location information is calculated highly accurately.Currently, defended using three for calculating the method for position and temporal information
The error of star and the position that calculated by using other satellite correction and temporal information.Additionally, GPS module 114
Can be by Continuous plus current location information in real time come calculating speed information.
User input unit 120 can generate key input data to control each of mobile terminal according to the order of user input
Plant operation.User input unit 120 allows the various types of information of user input, and can include keyboard, metal dome, touch
Plate (for example, detection is due to the sensitive component of the change of touched and caused resistance, pressure, electric capacity etc.), roller, rocking bar etc.
Deng.Especially, when touch pad is superimposed upon on display module 141 in the form of layer, touch screen can be formed.
Sensing unit 130 detects the current state of mobile terminal 1 00, and (for example, mobile terminal 1 00 opens or closes shape
State), the position of mobile terminal 1 00, user is for the presence or absence of contact (that is, touch input), the mobile terminal of mobile terminal 1 00
100 orientation, the acceleration or deceleration movement of mobile terminal 1 00 and direction etc., and generate for controlling mobile terminal 1 00
The order of operation or signal.For example, when mobile terminal 1 00 is embodied as sliding-type mobile phone, sensing unit 130 can be sensed
The sliding-type phone is opened or is cut out.In addition, sensing unit 130 can detect whether power subsystem 170 provides electricity.Sensing
Unit 130 can include proximity transducer 131.
Output unit 140 can include display module 141, dio Output Modules 142, alarm modules 143 etc..
The information that display module 141 is processed in may be displayed on mobile terminal 1 00.For example, when mobile terminal 1 00 is in electricity
During words call mode, display module 141 can show and converse or other communicate (for example, text messaging, multimedia files
Download etc.) related user interface (UI) or graphic user interface (GUI).When mobile terminal 1 00 is in video calling pattern
Or during image capture mode, display module 141 can show the image of capture and/or the image of reception, illustrate video or figure
UI or GUI of picture and correlation function etc..
Meanwhile, when the display module 141 and touch pad touch screen with formation superposed on one another in the form of layer, display module
141 can serve as input equipment and output device.Display module 141 can include liquid crystal display (LCD), thin film transistor (TFT)
In LCD (TFT-LCD), Organic Light Emitting Diode (OLED) display, flexible display, three-dimensional (3D) display etc. at least
It is a kind of.Some in these display may be constructed such that transparence to allow user from outside viewing, and this is properly termed as transparent
Display, typical transparent display can be, for example, TOLED (transparent organic light emitting diode) display etc..According to specific
The embodiment wanted, mobile terminal 1 00 can include two or more display modules (or other display devices), for example, move
Dynamic terminal can include outside display module (not shown) and internal display module (not shown).Touch screen can be used for detection and touch
Input pressure and touch input position and touch input area.
Dio Output Modules 142 can mobile terminal in call signal reception pattern, call mode, logging mode,
It is when under the isotypes such as speech recognition mode, broadcast reception mode, that wireless communication unit 110 is received or in memorizer 150
The voice data transducing audio signal of middle storage and it is output as sound.And, dio Output Modules 142 can be provided and movement
The audio output (for example, call signal receives sound, message sink sound etc.) of the specific function correlation that terminal 100 is performed.
Dio Output Modules 152 can include speaker, buzzer etc..
Alarm modules 143 can provide output so that event is notified to mobile terminal 1 00.Typical event can be with
Including calling reception, message sink, key signals input, touch input etc..In addition to audio or video is exported, alarm modules
143 can provide output in a different manner with the generation of notification event.For example, alarm modules 143 can be in the form of vibrating
Output is provided, when calling, message or some other entrance communication (incoming communication) are received, alarm mould
Block 143 can provide tactile output (that is, vibrating) to notify to user.Tactile output as by providing, even if
When the mobile phone of user is in the pocket of user, user also can recognize that the generation of various events.Alarm modules 143
The output of the generation of notification event can be provided via display module 141 or dio Output Modules 142.
Memorizer 150 can store software program for the process and control operation performed by controller 160 etc., Huo Zheke
With the data (for example, telephone directory, message, still image, video etc.) for temporarily storing own Jing outputs or will export.And
And, memorizer 150 can be storing the vibration of various modes with regard to exporting when touching and being applied to touch screen and audio signal
Data.
Memorizer 150 can include the storage medium of at least one type, and the storage medium includes flash memory, hard disk, many
Media card, card-type memorizer (for example, SD or DX memorizeies etc.), random access storage device (RAM), static random-access storage
Device (SRAM), read only memory (ROM), Electrically Erasable Read Only Memory (EEPROM), programmable read only memory
(PROM), magnetic storage, disk, CD etc..And, mobile terminal 1 00 can perform memorizer with by network connection
The network storage device cooperation of 150 store function.
In the present embodiment, the fingerprint after the fingerprint recognition safe class, current fingerprint characteristic template and renewal is special
Levy template to be stored in memorizer 150, study module often learns to obtain a fingerprint characteristic template, sends to memorizer 150
In stored so that expand the fingerprint characteristic template that stores in memorizer 150.
The overall operation of the generally control mobile terminal of controller 160.For example, controller 160 is performed and voice call, data
The related control of communication, video calling etc. and process.In addition, controller 160 can be included for reproducing (or playback) many matchmakers
The multi-media module of volume data, multi-media module can be constructed in controller 160, or it is so structured that and controller 160
Separate.The handwriting input for performing on the touchscreen or picture can be drawn defeated with execution pattern identifying processing by controller 160
Enter to be identified as character or image.
In the present embodiment, the study module, the first configuration module and the second configuration module can pass through controller 160
Realize, self study is carried out to the fingerprint characteristic template of user input especially by controller 160, new fingerprint characteristic template is obtained
And be added in original fingerprint characteristic template, so as to improve the discrimination of fingerprint comparison in fingerprint identification process, work as controller
After 160 judge that the fingerprint characteristic template after renewal meets preset requirement, controller 160 is carried out again to fingerprint recognition safe class
Configuration, so that improve the safe class of the fingerprint comparison in fingerprint identification process.
Power subsystem 170 receives external power or internal power under the control of controller 160 and provides operation each unit
Appropriate electric power needed for part and component.
Various embodiments described herein can be with use such as computer software, hardware or its any combination of calculating
Machine computer-readable recording medium is implementing.For hardware is implemented, embodiment described herein can be by using application-specific IC
(ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), scene can
Programming gate array (FPGA), processor, controller, microcontroller, microprocessor, it is designed to perform function described herein
At least one in electronic unit implementing, in some cases, can be implemented in controller 160 by such embodiment.
For software is implemented, the embodiment of such as process or function can with allow to perform the single of at least one function or operation
Software module is implementing.Software code can be come by the software application (or program) write with any appropriate programming language
Implement, perform during software code can be stored in memorizer 150 and by controller 160.
So far, own Jing describes mobile terminal according to its function.Below, for the sake of brevity, will description such as folded form,
Slide type mobile terminal in various types of mobile terminals of board-type, oscillating-type, slide type mobile terminal etc. is used as showing
Example.Therefore, the present invention can be applied to any kind of mobile terminal, and be not limited to slide type mobile terminal.
Based on above-mentioned mobile terminal hardware configuration, the inventive method each embodiment is proposed.
First embodiment：
As shown in Fig. 2 being based on above-mentioned mobile terminal hardware configuration and communication system, the fingerprint recognition ginseng of the present invention is proposed
The embodiment of number configuration device, specifically, the fingerprint recognition parameter configuration device is arranged within shifting terminal, by the device
The fingerprint identification function of the mobile terminal is controlled, the fingerprint recognition parameter configuration device 2 that the present invention is provided includes：Learn
Module 21 and the first configuration module 22 is practised, wherein：
Study module 21 updates current for recognizing under safe class in the current finger print being pre-configured with by self study
Fingerprint characteristic template, the fingerprint characteristic template after renewal refuse sincere for improving.
When the fingerprint characteristic template that first configuration module 22 is used in the updated meets preset requirement, the finger is reconfigured
Stricture of vagina identification safe class is new fingerprint recognition safe class, than described current under the new fingerprint recognition safe class
Accuracy of system identification under fingerprint recognition safe class is higher.
In the present embodiment, the current finger print identification safe class being pre-configured with refers specifically to go out in mobile terminal
The safe class arranged before factory, the safe class at this moment arranging are relatively low safe class, because after mobile terminal dispatches from the factory
User needs to carry out the input storage of fingerprint, after the completion of storage, needs to carry out test use to fingerprint identification function, if quickly
Safe class is set to it is high-grade, then test when be likely to identification it is unsuccessful, it is so to the first of the function
Using bringing larger inconvenience.Therefore, here be pre-configured with fingerprint recognition safe class when than relatively low.
In actual applications, the fingerprint recognition of terminal can be divided into two stages substantially, and the first stage is Terminal fingerprints
The initial operational phase of identification function, in this stage user typically do not carry out the higher service of safe class, so arrange
Fingerprint recognition safe class is relatively low, and be specifically appreciated that the identification of fingerprint room refuses sincere higher than accuracy of system identification.
After stage, into second stage, the stage is the serviceability limit stage of Terminal fingerprints identification function, i.e.,
Can be to carry out the higher service of safe class, in this stage, 21 autonomic learning fingerprint characteristic of study module, and update arrive
In fingerprint characteristic template, it is higher safe class that the stage uses fingerprint recognition grade, specifically can be understood as by
Accuracy of system identification in fingerprint identification process increases.
In the present embodiment, the study module 21 refers to particular by multi collect in autonomic learning fingerprint characteristic
Stricture of vagina characteristic point, the characteristic point to gathering each time are identified, and identify real features point, specifically that the fingerprint for collecting is special
In levying a little is not that pseudo-random numbers generation in same fingerprint is rejected, and the really characteristic point that then will identify that is added to current
In the template characteristic point set of fingerprint characteristic template, the fingerprint characteristic template after the renewal is obtained.
Specifically, the multi collect fingerprint feature point that study module 21 is carried out can be the fingerprint characteristic according to user input
It is acquired, when the unlocked by fingerprint of terminal is carried out, whenever fingerprint characteristic of user input, study module 21 is just for such as user
Study once, the fingerprint feature point for learning is added in current fingerprint characteristic template, optionally, the fingerprint that the study is arrived
User is characterized as in unlock terminal, the fingerprint characteristic of user input, the fingerprint characteristic at least include current finger print feature templates
In fingerprint feature point.
In learning process, the study module 21 also includes that obtaining fingerprint feature point to study compares identification, comparison exists
The whether fingerprint feature point that the existing study is obtained in the template characteristic point set of current fingerprint characteristic template, if so, then
Storage renewal is not carried out, operation is directly unlocked；If it is not, the fingerprint feature point addition for then currently learning study module 21
To in the template characteristic point set of current fingerprint characteristic template, new fingerprint characteristic template is obtained, and terminal is unlocked
Operation.
In the present embodiment, preset requirement of first configuration module 22 when fingerprint recognition safe class is reconfigured
The quantity of the characteristic point in the template characteristic set of fingerprint recognition feature templates is referred to, the fingerprint recognition after renewal is special
When levying the quantity of characteristic point in the template characteristic set of template and being equal to or more than preset value, the first configuration module 22 pairs currently refers to
Stricture of vagina identification safe class is adjusted configuration, and current finger print being recognized, safe class is reconfigured for new fingerprint recognition safety etc.
Level, optionally, the first configuration device 22 improves current finger print identification safe class to next stage so that keeping fingerprint recognition
Refuse it is sincere it is constant on the basis of further improve the accuracy of system identification of fingerprint recognition.
Assume that fingerprint recognition safe class includes 5 grades, grade 1 is minimum, and class 5 is highest, if, current finger
The quantity of the template characteristic point in the template characteristic set of stricture of vagina feature templates is 80, and fingerprint recognition safe class is 2, in the peace
In congruent level, which identifies that fingerprint characteristic points reach 70 and can just be unlocked.Under the safe class, study module 21 is not
Autonomic learning is carried out according to the unblock fingerprint of user input disconnectedly, expands the template characteristic point of former fingerprint characteristic template, for example, mould
After the quantity of plate features point increases to 100, at this moment, the template characteristic point in the template characteristic set of fingerprint characteristic template reaches
Preset value, then it is 4 that current safe class is adjusted to safe class by first configuration module 22 for 2, and with safe class as 4
As new safe class, in upper once fingerprint recognition, being defined by safe class 4 carries out fingerprint recognition unblock.
The fingerprint recognition parameter devices that the present embodiment is provided, by study module in the current fingerprint recognition peace being pre-configured with
Under congruent level, self study updates current fingerprint characteristic template, and the fingerprint characteristic template after renewal refuses sincere for improving, and first
When configuration module fingerprint characteristic template in the updated meets preset requirement, it is new finger to reconfigure fingerprint recognition safe class
Stricture of vagina recognizes safe class, and the accuracy of system identification of the new fingerprint recognition safe class is recognized higher than current finger print recognizes vacation under safe class
Rate；By self study, the template characteristic points in fingerprint characteristic template are expanded, user had both been met to fingerprint recognition safety etc.
The requirement of level, also meets the requirement to fingerprint recognition rate so that during fingerprint recognition is carried out, can be by improving peace
Congruent level is identified to fingerprint recognition, while fingerprint recognition rate when also improving fingerprint recognition, uses in solving prior art
Family cannot realize the problem that discrimination, safe class get both in using fingerprint identification process, substantially increase the experience of user
Degree.
Second embodiment：
With reference to Fig. 3, another structural representation of the fingerprint recognition parameter configuration device that Fig. 3 is provided for second embodiment of the invention
Figure.The fingerprint recognition parameter configuration device 2 includes：Study module 21 and the first configuration module 22, wherein：
Recognized under safe class in the current finger print being pre-configured with by study module 21, update current by self study
Fingerprint characteristic template, the fingerprint characteristic template after renewal refuse sincere for improving.
In the present embodiment, the current finger print identification safe class that this is pre-configured with refers to it must is the safety of fingerprint recognition early stage
Grade, the fingerprint recognition early stage refer to the test phase of Terminal fingerprints identification function, it is understood that for being that user takes end
The first operational phase of typing fingerprint characteristic behind end, is the meeting typing fingerprint after user takes mobile phone, after typing fingerprint
It is considered as fingerprint recognition early stage in 1-2 days.In this stage, user does not typically carry out the higher service of safe class.
After fingerprint recognition early stage, into the fingerprint recognition later stage, the stage normally can be used for fingerprint identification function
In the stage, at this moment, study module 21 passes through the template characteristic point of autonomic learning fingerprint characteristic template again, for improving fingerprint recognition
Refuse sincere.
In the present embodiment, the study module 21 in the fingerprint recognition parameter configuration device specifically can be by controlling in Fig. 1
Device processed 160 realizing, the specific fingerprint characteristic for detecting user input by user input unit 120, and be transferred to controller
160, controller 160 is learnt according to the fingerprint characteristic that user input unit 120 is detected, after the completion of study, will be new
Fingerprint characteristic is added in original fingerprint characteristic template, expands original fingerprint characteristic template.
The fingerprint characteristic template that first configuration module 22 is used in the updated meets preset requirement, then reconfigure the finger
Stricture of vagina identification safe class is new fingerprint recognition safe class, than described current under the new fingerprint recognition safe class
Accuracy of system identification under fingerprint recognition safe class is higher.
In the present embodiment, the fingerprint characteristic template Mazu's preset requirement after the renewal is specifically included：After the renewal
Fingerprint characteristic template template characteristic point set in template characteristic point quantity be equal to or more than preset value.
Template characteristic point in the template characteristic set of the fingerprint characteristic template in the updated of first configuration module 22
Quantity be equal to or more than preset value when, it is new fingerprint recognition safe class to reconfigure fingerprint recognition safe class.For example,
Current finger print identification safe class be a, study module 21 constantly study update fingerprint characteristic template after, its fingerprint characteristic mould
After the quantity of the template characteristic point in the template characteristic set of plate reaches the preset value of another safe class b, the first configuration mould
Block 22 is needed current safety level adjustment to safe class b, and at this moment fingerprint recognition parameter configuration device 2 is carrying out fingerprint recognition
When, needs are identified according to safe class b, and continue to update fingerprint characteristic template.
In the present embodiment, first configuration module 22 can using the controller 160 and memorizer 150 in Fig. 1 come
Realize, be previously stored with the rank list of fingerprint recognition safe class, and fingerprint characteristic template, controller in memory
The fingerprint characteristic of storage useless in the new and memorizer 150 for learning is added to memorizer 150 after the completion of self study by 160
In stored, and be integrated in original fingerprint characteristic template, controller 160 is disconnected update after fingerprint characteristic template it is whether full
Sufficient preset requirement, that is to say whether the quantity of template characteristic point in the fingerprint characteristic template after updating has reached next safety etc.
Level exists, if reaching, controller 160 adjusts current finger print identification safe class to next safe class.User input list
Unit 120 gathers the fingerprint characteristic that fingerprint characteristic carries out next time to controller 160 when once fingerprint recognition arrives on detecting
Template Learning, such repeatable operation.
In the present embodiment, the fingerprint recognition parameter configuration device 2 also includes the second configuration module 23, second configuration
Module 23 is for before terminal is dispatched from the factory, or is used the initial stage in terminal, and fingerprint recognition grade is configured to the current finger
Stricture of vagina recognizes safe class, refuses sincere higher than accuracy of system identification under the current finger print identification safe class.
Second configuration module 23 was particularly used for before study module 21 carries out fingerprint characteristic study, was that terminal is arranged
Fingerprint characteristic and safe class, the module are optional, are realized by the user input unit 120 in Fig. 1, and user is by using
The fingerprint characteristic that the input of family input block 120 is specified, and be stored in memorizer 150, when fingerprint recognition is subsequently carried out, control
Fingerprint characteristic of the device 160 by the fingerprint characteristic to be verified for newly collecting with storage is compared, if comparing successfully, unlocks,
Device processed 160 also learns the fingerprint characteristic for newly collecting simultaneously, and new fingerprint characteristic is added in memorizer 150, updates former
The fingerprint characteristic template come.
Assume that fingerprint recognition safe class includes 5 grades, grade 1 is minimum, and class 5 is highest, if, current finger
The quantity of the template characteristic point in the template characteristic set of stricture of vagina feature templates is 80, and fingerprint recognition safe class is 2, in the peace
In congruent level, which identifies that fingerprint characteristic points reach 70 and can just be unlocked.Under the safe class, study module 21 is not
Autonomic learning is carried out according to the unblock fingerprint of user input disconnectedly, expands the template characteristic point of former fingerprint characteristic template, for example, mould
After the quantity of plate features point increases to 100, at this moment, the template characteristic point in the template characteristic set of fingerprint characteristic template reaches
Preset value, then it is 4 that current safe class is adjusted to safe class by first configuration module 22 for 2, and with safe class as 4
As new safe class, in upper once fingerprint recognition, being defined by safe class 4 carries out fingerprint recognition unblock.
The fingerprint recognition parameter devices that the present embodiment is provided, by study module in the current fingerprint recognition peace being pre-configured with
Under congruent level, self study updates current fingerprint characteristic template, and the fingerprint characteristic template after renewal refuses sincere for improving, and first
When configuration module fingerprint characteristic template in the updated meets preset requirement, it is new finger to reconfigure fingerprint recognition safe class
Stricture of vagina recognizes safe class, and the accuracy of system identification of the new fingerprint recognition safe class is recognized higher than current finger print recognizes vacation under safe class
Rate；By self study, the template characteristic points in fingerprint characteristic template are expanded, after preset requirement is met, finger is reconfigured
Stricture of vagina recognizes safe class so that during fingerprint recognition is carried out, and fingerprint recognition can be carried out by improving safe class
Identification, while fingerprint recognition rate when also improving fingerprint recognition, in solving prior art, user is using fingerprint identification process
In cannot realize problem that discrimination, safe class get both, substantially increase the Experience Degree of user.
3rd embodiment：
With reference to Fig. 4, the flow chart of the fingerprint recognition method for parameter configuration that Fig. 4 is provided for third embodiment of the invention.This refers to
Stricture of vagina identification parameter collocation method includes following process step：
S401, updates current fingerprint characteristic template by self study, and the fingerprint characteristic template after renewal is refused for improving
It is sincere.
In this step, in self study fingerprint characteristic template, specifically in the current finger print identification safety being pre-configured with
Learnt under grade, the current finger print identification safe class that this is pre-configured with refers to it must is the safe class of fingerprint recognition early stage,
The fingerprint recognition early stage refers to the test phase of Terminal fingerprints identification function, it is understood that for be user take after terminal record
Enter the first operational phase of fingerprint characteristic, be the meeting typing fingerprint after user takes mobile phone, in 1-2 days after typing fingerprint
It is considered as fingerprint recognition early stage.In this stage, user does not typically carry out the higher service of safe class.
In the present embodiment, the current finger print identification safe class is specifically before the terminal is dispatched from the factory or described
Terminal is used the initial stage, and fingerprint recognition safe class is configured to the current finger print identification safe class, the current finger
Refuse sincere higher than accuracy of system identification under stricture of vagina identification safe class.
In actual applications, the fingerprint recognition of terminal can be divided into two stages substantially, and the first stage is Terminal fingerprints
The initial operational phase of identification function, in this stage user typically do not carry out the higher service of safe class, so arrange
Fingerprint recognition safe class is relatively low, and be specifically appreciated that the identification of fingerprint room refuses sincere higher than accuracy of system identification.
After stage, into second stage, the stage is the serviceability limit stage of Terminal fingerprints identification function, i.e.,
Can be to carry out the higher service of safe class, in this stage by autonomic learning be input into fingerprint characteristic, and update to finger
In stricture of vagina feature templates, it is higher safe class that the stage uses fingerprint recognition grade,
In this step, when autonomic learning fingerprint characteristic is carried out, particular by multi collect fingerprint feature point, to every
The characteristic point for once gathering is identified, and identifies real features point, will specifically in the fingerprint feature point for collecting not be
Pseudo-random numbers generation in same fingerprint is rejected, and the really characteristic point that then will identify that is added to current fingerprint characteristic template
Template characteristic point set in, obtain the fingerprint characteristic template after the renewal.
Whether S402, the fingerprint characteristic template after judging to update meet preset requirement.
Preset requirement in this step is referred in the template characteristic point set of the fingerprint characteristic template after the renewal
Template characteristic point quantity be equal to or more than preset value.
S403, if meeting, it is new fingerprint recognition safe class to reconfigure the fingerprint recognition safe class.
In this step, the accuracy of system identification ratio under the new fingerprint recognition safe class is in current finger print identification safety
Accuracy of system identification under grade is higher.
Specifically, the quantity of the template characteristic point in the template characteristic point set of the fingerprint characteristic template after judging to update
During equal to or more than preset value, then higher safe class of the fingerprint characteristic template to reach is illustrated, in fingerprint recognition, can be with
The identification operation of fingerprint is carried out using higher safe class.
The multi collect fingerprint feature point can be understood as being acquired according to the fingerprint characteristic of user input, for example
User, just learns once, by the fingerprint for learning whenever fingerprint characteristic of user input when the unlocked by fingerprint of terminal is carried out
Characteristic point is added in current fingerprint characteristic template, optionally, and the fingerprint characteristic that the study is arrived is user in unlock terminal,
The fingerprint characteristic of user input, the fingerprint characteristic at least include the fingerprint feature point in current finger print feature templates.
Multi collect fingerprint characteristic study also includes obtaining study fingerprint feature point and compares identification, and comparison exists
The whether fingerprint feature point that the existing study is obtained in the template characteristic point set of current fingerprint characteristic template, if so, then
Storage renewal is not carried out, operation is directly unlocked；If it is not, the fingerprint feature point for currently learning is added to current finger then
In the template characteristic point set of stricture of vagina feature templates, new fingerprint characteristic template is obtained, and is unlocked operation to terminal.
In this example, it is assumed that fingerprint recognition safe class includes 5 grades, grade 1 is minimum, and class 5 is highest,
If, the quantity of the template characteristic point in the template characteristic set of current fingerprint characteristic template is 80, fingerprint recognition safety
Grade is 2, and in the safe class, which identifies that fingerprint characteristic points reach 70 and can just be unlocked.In the safe class
Under, autonomic learning is carried out according to the unblock fingerprint of user input constantly, expands the template characteristic point of former fingerprint characteristic template, example
Such as, after the quantity of template characteristic point increases to 100, at this moment, the template characteristic in the template characteristic set of fingerprint characteristic template
Point has reached preset value, then be that 2 to adjust to safe class be 4 by current safe class, and is 4 as new using safe class
Safe class, in upper once fingerprint recognition, being defined by safe class 4 carries out fingerprint recognition unblock.
The fingerprint recognition method for parameter configuration that the present embodiment is provided, by current finger print identification safety being pre-configured with etc.
Under level, current fingerprint characteristic template is updated by self study, the fingerprint characteristic module after renewal refuses sincere for improving, in institute
The fingerprint characteristic template after updating is stated when meeting preset requirement, it is that new fingerprint is known to reconfigure the fingerprint recognition safe class
Other safe class；The present invention is continuously updated expansion fingerprint characteristic template by self study, improves fingerprint during fingerprint recognition
Discrimination, substantially increases user experience of the user in fingerprint recognition.It is if fingerprint characteristic template meets preset requirement, right
Fingerprint recognition safe class is reconfigured, it is achieved thereby that during fingerprint recognition is carried out, can be by improving peace
Congruent level is identified to fingerprint recognition, has both been met requirement of the user to fingerprint recognition safe class, has also been met to fingerprint
The requirement of discrimination, in solving prior art, user cannot realize that in using fingerprint identification process discrimination, safe class are simultaneous
The problem for obtaining.
Fourth embodiment：
With reference to Fig. 5, the fingerprint recognition method for parameter configuration that Fig. 5 is provided for fourth embodiment of the invention appraises middle flow process through discussion
Figure.The method is proposed based on upper disclosed mobile terminal hardware configuration, by the method to the mobile terminal
Fingerprint identification function is controlled, and the fingerprint recognition method for parameter configuration that the present invention is provided is specifically included：
S501, arranges fingerprint recognition safe class, and fingerprint characteristic template.
In this step, institute's safe class is relatively low safe class, refers specifically to arrange before mobile terminal dispatches from the factory
Safe class.The fingerprint characteristic template is to be used the initial stage in terminal, the fingerprint characteristic of user input, fingerprint at this moment
Identification grade is configured to refuse sincere higher than accuracy of system identification.
S502, gathers the fingerprint characteristic of user input.
In the present embodiment, the fingerprint characteristic refers to the fingerprint characteristic of user's user input when unlocking to mobile phone, tool
Body is by, in the fingerprint recognition region on mobile phone, same finger is placed on fingerprint recognition region and refers to stricture of vagina collection sensing by user
The fingerprint characteristic that device is collected.
S503, the fingerprint characteristic to collecting learn, and update current fingerprint characteristic template.
In the present embodiment, in autonomic learning fingerprint characteristic, particular by multi collect fingerprint feature point, to each
The characteristic point of secondary collection is identified, and identifies real features point, will specifically in the fingerprint feature point for collecting not be same
Pseudo-random numbers generation in one fingerprint is rejected, and the really characteristic point that then will identify that is added to current fingerprint characteristic template
In template characteristic point set, the fingerprint characteristic template after the renewal is obtained.
Optionally, by the fingerprint characteristic on the same finger that is input into when constantly gathering user and unlocking, and it is integrated into and works as
In front fingerprint characteristic template.
Whether S504, the fingerprint characteristic template after judging to update meet preset requirement.
Preset requirement in this step is referred in the template characteristic point set of the fingerprint characteristic template after the renewal
Template characteristic point quantity be equal to or more than preset value, if meet, execution step S505, conversely, then return rear step S502.
S505, reconfigures safe class, current fingerprint recognition safe class is adjusted higher to next stage specifically
Grade.
In this step, the accuracy of system identification ratio under the new fingerprint recognition safe class is in current finger print identification safety
Accuracy of system identification under grade is higher.
Specifically, the quantity of the template characteristic point in the template characteristic point set of the fingerprint characteristic template after judging to update
During equal to or more than preset value, then higher safe class of the fingerprint characteristic template to reach is illustrated, in fingerprint recognition, can be with
The identification operation of fingerprint is carried out using higher safe class.
In the present embodiment, illustrated with specific example below, it is assumed that fingerprint recognition safe class with refuse sincere
FRR, accuracy of system identification FAR corresponding relations such as table 1.Wherein safe class 1～5,1 grade minimum, 5 grades of highests；Because FRR and safe class
Inverse correlation, FAR and safe class positive correlation, so corresponding relation is as follows：
Table 1, safe class FRR, FAR corresponding relation
| Safe class | 1 | 2 | 3 | 4 | 5 |
| Refuse sincere FRR | 5 | 4 | 3 | 2 | 1 |
| Accuracy of system identification FAR | 1 | 2 | 3 | 4 | 5 |
Algorithm of the general fingerprint recognition using fixed safe class, i.e., during whole product use, FRR, FAR are adopted
With fixed value, such as table 2, so early stage discrimination is low, poor user experience, after self study, discrimination is improved, but without improving
Safe class is presented more preferable Consumer's Experience.
Table 2, general algorithm for recognizing fingerprint
The fingerprint recognition method for parameter configuration provided by the present embodiment carries out fingerprint recognition, first before fingerprint recognition
Phase adopts lower security grade, preferential to meet the successful Consumer's Experience of identification, is also convenient for user's unblock and uses, therefore in early stage user
The higher service of safety can't be carried out.It is also possible to during the use of early stage, be carried out by way of self study
The study of fingerprint characteristic template, expands fingerprint characteristic template, improves the recognition success rate of fingerprint room；
In the fingerprint recognition later stage, in the algorithm, the fingerprint characteristic that user input is used for unblock is entered by self-learning algorithm
Constantly study updates row, when fingerprint characteristic template increases to certain threshold value, can be improved automatically safe class, now
The normal discrimination of fingerprint recognition is not only interfered with, safe class can also be improved, optionally, improved safe class and refer to
Improve accuracy of system identification, the specifically number of the template characteristic point in the template characteristic point set of the fingerprint characteristic template after judging to update
When amount is equal to or more than preset value, current fingerprint recognition safe class is adjusted, so as to meet high discrimination, high safety
The Consumer's Experience of grade, as shown in table 3：
Form 3, the different safety class algorithm based on self study
| Stage | Self study | Safe class | FRR refuses sincere | FAR accuracy of system identification | Consumer's Experience |
| Early stage | √ | 2 | 4 | 2 | It is good |
| Later stage | √ | 4 | 4 | 4 | More preferably |
By upper table, current finger print identification safe class is 2, it is assumed that the template characteristic of current fingerprint characteristic template
The quantity of the template characteristic point in set is 80, and in the safe class, which identifies that fingerprint characteristic points reach 70 ability
It is unlocked.Under the safe class, autonomic learning is carried out according to the unblock fingerprint of user input constantly, expand former fingerprint special
The template characteristic point of template is levied, for example, after the quantity of template characteristic point increases to 100, at this moment, the template of fingerprint characteristic template
Template characteristic point in characteristic set has reached preset value, then it is 4 to adjust to safe class current safe class for 2, and
It is that 4 as new safe class, in upper once fingerprint recognition, being defined by safe class 4 carries out fingerprint recognition using safe class
Unblock.
The fingerprint recognition parameter configuration devices and methods therefor that the present invention is provided, methods described is first by being pre-configured with
Under current finger print identification safe class, current fingerprint characteristic template is updated by self study, the fingerprint characteristic module after renewal
Refuse sincere for improving, when the fingerprint characteristic template after the renewal meets preset requirement, reconfigure the fingerprint recognition
Safe class is new fingerprint recognition safe class, than knowing in the current finger print under the new fingerprint recognition safe class
The accuracy of system identification of other safe class is higher；By self study, the template characteristic points in fingerprint characteristic template are expanded, it is pre- meeting
If after requiring, reconfiguring fingerprint recognition safe class so that during fingerprint recognition is carried out, can be by improving safety
Grade is identified to fingerprint recognition, while fingerprint recognition rate when also improving fingerprint recognition, solves user in prior art
The problem that discrimination, safe class get both cannot be realized in using fingerprint identification process, substantially increase the Experience Degree of user.
It should be noted that herein, term " including ", "comprising" or its any other variant are intended to non-row
His property is included, so that a series of process, method, article or device including key elements not only include those key elements, and
And also include other key elements being not expressly set out, or also include for this process, method, article or device institute inherently
Key element.In the absence of more restrictions, the key element for being limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
Also there is other identical element in the process of key element, method, article or device.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on such understanding, technical scheme is substantially done to prior art in other words
The part for going out contribution can be embodied in the form of software product, and the computer software product is stored in a storage medium
In (such as ROM/RAM, magnetic disc, CD), use so that a station terminal equipment including some instructions (can be mobile phone, computer, clothes
Business device, air-conditioner, or network equipment etc.) perform method described in each embodiment of the invention.
Embodiments of the invention are described above in conjunction with accompanying drawing, but be the invention is not limited in above-mentioned concrete
Embodiment, above-mentioned specific embodiment are only schematic, rather than restricted, one of ordinary skill in the art
Under the enlightenment of the present invention, in the case of without departing from present inventive concept and scope of the claimed protection, can also make a lot
Form, these are belonged within the protection of the present invention.
Claims (10)
1. a kind of fingerprint recognition parameter configuration device, it is characterised in that include：
Study module, for, under the current finger print identification safe class being pre-configured with, updating current fingerprint by self study
Feature templates, the fingerprint characteristic template after renewal refuse sincere for improving；
First configuration module, when meeting preset requirement for fingerprint characteristic template in the updated, reconfigures the fingerprint and knows
Other safe class is new fingerprint recognition safe class, than in the current finger print under the new fingerprint recognition safe class
Accuracy of system identification under identification safe class is higher.
2. fingerprint recognition parameter configuration device according to claim 1, it is characterised in that the study module is used for multiple
Collection fingerprint feature point, the characteristic point to gathering each time are identified, and identify real features point, the true spy that will identify that
Levy in the template characteristic point set of the fingerprint characteristic template for being a little added to current, obtain the fingerprint characteristic template after the renewal.
3. fingerprint recognition parameter configuration device according to claim 2, it is characterised in that first configuration module is used for
The quantity of the template characteristic point in the template characteristic set of the fingerprint characteristic template after the renewal is equal to or more than preset value
When, it is new fingerprint recognition safe class to reconfigure the fingerprint recognition safe class.
4. fingerprint recognition parameter configuration device according to claim 1, it is characterised in that also including the second configuration module,
For before terminal is dispatched from the factory, or the initial stage is used in terminal, fingerprint recognition safe class is configured to into the current finger print
Identification safe class, refuses sincere higher than accuracy of system identification under the current finger print identification safe class.
5. the fingerprint recognition parameter configuration device according to any one of Claims 1-4, it is characterised in that if fingerprint recognition
Five grades of safety status classification, the current finger print identification safe class is the 2nd grade, the new fingerprint recognition safe class
For the 4th grade.
6. a kind of fingerprint recognition method for parameter configuration, is applied to terminal, it is characterised in that include：
Under the current finger print identification safe class being pre-configured with, current fingerprint characteristic template is updated by self study, is updated
Fingerprint characteristic template afterwards refuses sincere for improving；
If the fingerprint characteristic template after the renewal meets preset requirement, it is new to reconfigure the fingerprint recognition safe class
Fingerprint recognition safe class, under the new fingerprint recognition safe class than the current finger print identification safe class under
Accuracy of system identification it is higher.
7. fingerprint recognition parameter configuration device according to claim 6, it is characterised in that described renewal by self study is worked as
Front fingerprint characteristic template includes：
Multi collect fingerprint feature point, the fingerprint feature point to gathering each time are identified, and identify real features point, will know
The real features point not gone out is added in the template characteristic point set of current fingerprint characteristic module board, after obtaining the renewal
Fingerprint characteristic template.
8. fingerprint recognition parameter configuration device according to claim 7, it is characterised in that the fingerprint characteristic after the renewal
Template meets preset requirement to be included：Template characteristic point in the template characteristic point set of the fingerprint characteristic template after the renewal
Quantity is equal to or more than preset value.
9. fingerprint recognition parameter configuration device according to claim 6, it is characterised in that also include：Go out in the terminal
Before factory, or the terminal is used the initial stage, and fingerprint recognition safe class is configured to described current finger print identification safety etc.
Level, refuses sincere higher than accuracy of system identification under the current finger print identification safe class.
10. the fingerprint recognition parameter configuration device according to any one of claim 6 to 9, it is characterised in that if fingerprint recognition
5 grades of safety status classification, the current finger print identification safe class is the 2nd grade, the new fingerprint recognition safe class
For the 4th grade.
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