CN104915652A - Fingerprint image restoration method and device - Google Patents
Fingerprint image restoration method and device Download PDFInfo
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- CN104915652A CN104915652A CN201510312673.5A CN201510312673A CN104915652A CN 104915652 A CN104915652 A CN 104915652A CN 201510312673 A CN201510312673 A CN 201510312673A CN 104915652 A CN104915652 A CN 104915652A
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- 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
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Abstract
The invention discloses a fingerprint image restoration method and device. The method comprises the following steps: collecting a blank background image; scanning the blank background image, and obtaining a pixel region where the difference value between the pixel value and the standard pixel value exceeds a preset value in the blank background image; determining the position and width of the pixel region where the difference value exceeds the preset value; collecting a fingerprint image; and calculating pixel average value of a front region and a back region of the pixel region where the difference value exceeds the preset value, the pixel average value being served as the pixel value of pixels in the pixel region where the difference value exceeds the preset value, and obtaining the fingerprint image after being corrected. Through the method and device, image quality of the fingerprint image can be improved.
Description
Technical field
The present invention relates to technical field of biometric identification, particularly relate to a kind of restorative procedure and device of fingerprint image.
Background technology
Fingerprint identification technology is one and carries out the technology of identity validation by the information point analyzing fingerprint, has very high practicality, feasibility.In history, people use fingerprint to have very long practice experience to carry out identity authentication.No matter on court testimony or civil contract, utilize fingerprint to identify as individual and obtained jural accreditation.Fingerprint due to everyone is unique, there is not identical fingerprint, and fingerprint is quite fixed between two people, is difficult to change, and therefore has suitable stability and accuracy.In addition, fingerprint recognition is also convenient to obtain sample fingerprint, is easy to develop recognition system, practical.
Automated Fingerprint Identification System is light harvesting power technology, image procossing, computer techno-stress, database technology, mode identification technology etc. in the comprehensive system of one, generally comprise fingerprint image acquisition, fingerprint image process, feature extraction, eigenwert comparison with the process such as to mate.
Existing semiconductor fingerprint sensing adopts the split of multi-disc silicon chip to form large-area fingerprint image acquisition region.Its Problems existing there is gap between silicon chip and silicon chip, and cause the information in fingerprint of gap position to lack, and form vertical line on fingerprint image, this causes interference to follow-up fingerprint recognition.
In fingerprint image acquisition process, because the problems referred to above make the picture quality quality collected differ, and existing Automated Fingerprint Identification System does not comprise the evaluation and test of picture quality, make ropy image DeGrain after pre-processing, cause higher reject rate.
Summary of the invention
The problem that the embodiment of the present invention solves how to improve the picture quality of fingerprint image.
For solving the problems of the technologies described above, the embodiment of the present invention provides a kind of restorative procedure of fingerprint image, comprising:
Gather blank background image;
Scan described blank background image, the difference obtaining pixel value and standard pixel value in described blank background image exceedes the pixel region of preset value;
Determine that described difference exceedes position and the width of the pixel region of preset value;
Gather fingerprint image;
Calculate described difference and exceed the forefoot area of the pixel region of preset value and the pixel average of rear region, exceed the pixel value of pixel in the pixel region of preset value as described difference, obtain revised fingerprint image.
Optionally, the described blank background image of described scanning comprises: scan subregional pixel value in the middle part of described blank background image.
Optionally, subregional pixel value in the middle part of the described blank background image of described scanning, comprising: scan the pixel value presetting line number view data in described blank background image.
Optionally, described default line number is 90 row.
Optionally, subregional pixel value in the middle part of the described blank background image of described scanning, also comprises: the data choosing default columns in described blank background image, forms block, scan with the data of described default line number.
Optionally, the width of described pixel region forefoot area is identical with the width of described pixel region; The width of described pixel region rear region is identical with the width of described pixel region.
Optionally, described restorative procedure also comprises: carry out noise reduction process to described revised fingerprint image.
In order to solve above-mentioned technical matters, the embodiment of the invention also discloses a kind of prosthetic device of fingerprint image, comprising:
First collecting unit, for gathering blank background image;
Scanning element, for scanning described blank background image;
Computing unit, the difference for obtaining pixel value and standard pixel value in described blank background image exceedes the pixel region of preset value;
Identifying unit, for determining that described difference exceedes position and the width of the pixel region of preset value;
Second collecting unit, gathers fingerprint image;
Adjustment unit, exceeding the pixel region forefoot area of preset value and the pixel average of rear region for calculating described difference, exceeding the pixel value of pixel in the pixel region of preset value, obtain revised fingerprint image as described difference.
Optionally, described scanning element is for scanning subregional pixel value in the middle part of described blank background image.
Optionally, described scanning element is for scanning the pixel value presetting line number data in described blank background image.
Optionally, described default line number is 90 row.
Optionally, described scanning element is used for the data choosing default columns in described blank background image, forms block, scan with the data of described default line number.
Optionally, to exceed the width of the pixel region forefoot area of preset value identical with the width of described pixel region for described difference; The width that described difference exceedes the pixel region rear region of preset value is identical with the width of described pixel region.
Optionally, described prosthetic device also comprises: noise reduction unit, for carrying out noise reduction process to described revised fingerprint image.
Compared with prior art, the technical scheme of the embodiment of the present invention has the following advantages:
First by comparing each pixel in blank background image, the region that the difference of wherein pixel value and standard pixel value is excessive is obtained, as image slot region.Be blank background image due to what collect, therefore in image, the pixel value of data can be larger with the difference between standard pixel value, thus be easy to the place, position and the width that judge gap.When after collecting fingerprint image, can directly according to gap position judged before and width, image is repaired, namely the pixel value in region before and after gap area is calculated, as the pixel value of gap area, thus the reparation achieved image deflects, improve the discrimination of Automated Fingerprint Identification System.
Further, because the silicon chip mosaic of fingerprint sensor is uniformly distributed in vertical direction, therefore position and width that the pixel value presetting line number data in described blank background image just can carry out analyzing the pixel region judging image lack part in image is only scanned, thus minimizing calculated amount, reduce memory consumption.
Accompanying drawing explanation
Fig. 1 is the structural representation of a kind of semiconductor fingerprint sensor in prior art;
Fig. 2 is the process flow diagram of the restorative procedure of a kind of fingerprint image in the embodiment of the present invention;
Fig. 3 is that in the embodiment of the present invention, a kind of image pixel area divides schematic diagram;
Fig. 4 is that in the embodiment of the present invention, another kind of image pixel area divides schematic diagram;
Fig. 5 is the process flow diagram of the restorative procedure of another kind of fingerprint image in the embodiment of the present invention;
Fig. 6 is the structural representation of the prosthetic device of a kind of fingerprint image in the embodiment of the present invention.
Embodiment
Existing semiconductor fingerprint sensing adopts the split of multi-disc silicon chip to form large-area fingerprint image acquisition region.Its Problems existing there is gap between silicon chip and silicon chip, and cause the information in fingerprint of gap position to lack, and form vertical line on fingerprint image, this causes interference to follow-up fingerprint recognition.
Such as, as shown in Figure 1, described semiconductor fingerprint sensor is formed by multi-disc silicon chip splits arranged side by side such as silicon chip 11, silicon chip 12 and silicon chips 13.As seen from the figure, between silicon chip and silicon chip, can gap be there is, therefore can form the slight crack gap 14 and 15 of fingerprint image lack part on the fingerprint image data collected, interference is caused to subsequent fingerprint identification.And cannot ensure that the stitching position of every sheet sensor silicon chip is arranged on predeterminated position to keep unified due to the production technology of described semiconductor fingerprint sensor, so the width in slight crack gap 14 and slight crack gap 15 may also can not wait, thus cause the difficulty of image repair further.
In fingerprint image acquisition process, because a variety of causes such as the problems referred to above make the picture quality quality collected differ, and existing Automated Fingerprint Identification System does not comprise the evaluation and test of picture quality, make ropy image at the DeGrain after the pretreatment operation such as noise reduction, sharpening, cause higher reject rate.
For solving the problem, embodiments provide a kind of restorative procedure of fingerprint image.Adopting described restorative procedure, first by comparing each pixel in blank background image, obtaining the region that the difference of wherein pixel value and standard pixel value is excessive, as image slot region.Be blank background image due to what collect, therefore in image, the pixel value of data can be larger with the difference between standard pixel value, thus be easy to the place, position and the width that judge gap.When after collecting fingerprint image, can directly according to gap position judged before and width, image is repaired, namely the pixel value in region before and after gap area is calculated, as the pixel value of gap area, thus the reparation achieved image deflects, improve the discrimination of Automated Fingerprint Identification System.
For enabling above-mentioned purpose of the present invention, feature and advantage more become apparent, and are described in detail specific embodiments of the invention below in conjunction with accompanying drawing.
In concrete enforcement, the embodiment of the present invention is applicable to gather the image repair after fingerprint image by fingerprint sensor.Therefore, before the enforcement embodiment of the present invention, first suitable running parameter can be set to the register of fingerprint sensor.Sensors register controls the running parameters such as the gain amplifier of described fingerprint sensor, mode of operation and acquisition window size, user can according to practical application need these parameters are rationally arranged, and the information required for obtaining.
In above-mentioned concrete enforcement, described fingerprint sensor can be controlled by control chip by communication interface control information transmission and perform fingerprint collecting, and receive by described communication interface the data message that described fingerprint sensor collects.
As shown in Figure 2, embodiments provide a kind of restorative procedure of fingerprint image, the restorative procedure of described fingerprint image specifically can comprise the steps:
Step S201, gathers blank background image.
Described blank background image is the image not comprising finger print information collected by fingerprint sensor.Control chip sends and gathers whole fingerprint collecting window data command to fingerprint sensor, now fingerprint sensor surface not contact finger grain leather skin, so what collect is blank background image.
Step S202, scans described blank background image, and the difference obtaining pixel value and standard pixel value in described blank background image exceedes the pixel region of preset value.
Due to the gap that split place of silicon chip and silicon chip is formed, namely the pixel value of image lack part and blank background image has larger difference, therefore can by the pixel value of each pixel of more described blank background image, can the region of image lack part in process decision chart picture.
In concrete enforcement, described standard pixel value can be default preset value.
In concrete enforcement, described standard pixel value also can be the pixel average of described blank background image.Because described image lack part only accounts for the small part of whole image, the pixel average of described blank background image differs larger with the pixel value of image lack part, therefore will be compared by each pixel of described blank background image and pixel average, can process decision chart as lack part.
In another kind is specifically implemented, through detection experiment, the pixel value of image lack part is between 0xfd-0xf0 usually, therefore also can come the region of lack part in process decision chart picture by detecting the pixel value pixel be within described interval in described blank background image.
Step S203, determines that described difference exceedes position and the width of the pixel region of preset value.
In concrete enforcement, when behind the position obtaining described pixel region and width, the position of described pixel region and width data can be stored in nonvolatile memory.
Step S204, gathers fingerprint image.
Step S205, calculates the pixel average of described pixel region forefoot area and rear region, as the pixel value of pixel in described pixel region, obtains revised fingerprint image.
In concrete enforcement, the position of the pixel region obtained before can reading from described nonvolatile memory and width, thus image mending is carried out to described pixel region.
In concrete enforcement, the width of described pixel region forefoot area is identical with the width of described pixel region, and the width of described pixel region rear region is identical with the width of described pixel region.
Such as, as shown in Figure 3, when described pixel region, when the width of the gap area namely formed by the mosaic between silicon chip is 1 pixel size as pixel 31 in figure, described pixel region forefoot area is pixel 32, and described pixel region rear region is pixel 33.By calculating the pixel average of described pixel 32 and pixel 33, and using the pixel value of described pixel average as described pixel 31, the repairing to pixel 31 and 32 can be completed.In like manner other pixels of described image lack part are repaired, the repairing to fingerprint image can be completed.
As shown in Figure 4, when described pixel region, the width of the gap area namely formed by the mosaic between silicon chip be 2 pixel sizes as in figure pixel 41 and 42 time, described pixel region forefoot area is pixel 43 and 44, and described pixel region rear region is pixel 45 and 46.By calculating the pixel average of described pixel 43,44,45 and 46, and using the pixel value of described pixel average as described pixel 41 and 42, the repairing to pixel 41 and 42 can be completed.In like manner other pixels of described image lack part are repaired, the repairing to fingerprint image can be completed.
When the width of described gap area comprises the pixel of more than 2, the width also corresponding increase of described forefoot area and rear region, its repairing principle is identical with above-mentioned concrete enforcement, so place repeats no more.
In concrete enforcement, after completing the repairing to described fingerprint image by described step S205, can also noise reduction be carried out the fingerprint image repaired and strengthen process, remove the noise that electrical signal noise causes, improve picture quality.Such as, noise reduction can be carried out by Gauss's noise reduction algorithm to the fingerprint image after reparation and strengthen process.
By the method for repairing and mending of a kind of fingerprint image of the embodiment of the present invention, can image lack part in process decision chart picture, the i.e. position of silicon chip splicing line and width size, thus utilize the parameter of preserving to carry out image mending to image lack part when subsequent fingerprint gathers, and then provide good view data for follow-up fingerprint recognition.
The embodiment of the invention also discloses the restorative procedure of another kind of fingerprint image.As shown in Figure 5, the restorative procedure of described fingerprint image specifically can comprise the steps:
Step S501, gathers blank background image.
Described blank background image is the image not comprising finger print information collected by fingerprint sensor.Control chip sends and gathers whole fingerprint collecting window data command to fingerprint sensor, now fingerprint sensor surface not contact finger grain leather skin, so what collect is blank background image.
Step S502, scans subregional pixel value in the middle part of described blank background image.
In concrete enforcement, described step S502 can be the pixel value presetting line number view data in the described blank background image of scanning.Why do not take full figure analysis to be because the mosaic of silicon chip is equally distributed in vertical direction to described blank background image, for reducing calculated amount, reducing memory consumption, adopting local segment just can carry out analysis and judging.Such as, the data can choosing 90 row in described blank background image scan.When determining the gap belonging to image lack part in these 90 row data, can judge that the permutation view data corresponding to it all belongs to the gap of image lack part.
In above-mentioned concrete enforcement, the data of default columns can also be chosen in described blank background image, form block with the data of described default line number, scan.Such as, when choosing 90 row data and carrying out analysis scan, then by the block of 30*30, scanning judgement is carried out to described 90 row data, determine position and the width information in gap.After completing the scanning to a block, perform the scanning to next block, until complete the scanning to all blocks.
Step S503, the difference obtaining pixel value and standard pixel value in described blank background image exceedes the pixel region of preset value.
Due to the gap that split place of silicon chip and silicon chip is formed, namely the pixel value of image lack part and blank background image has larger difference, therefore can by the pixel value of each pixel of more described blank background image, can the region of image lack part in process decision chart picture.
In concrete enforcement, described standard pixel value can be default preset value.
In concrete enforcement, described standard pixel value also can be the pixel average of described blank background image.Because described image lack part only accounts for the small part of whole image, the pixel average of described blank background image differs larger with the pixel value of image lack part, therefore will be compared by each pixel of described blank background image and pixel average, can process decision chart as lack part.
In another kind is specifically implemented, through detection experiment, the pixel value of image lack part is between 0xfd-0xf0 usually, therefore also can by detecting the region of lack part in pixel process decision chart picture that pixel value in described blank background image is within described interval.
Step S504, determines that described difference exceedes position and the width of the pixel region of preset value.
In concrete enforcement, when behind the position obtaining described pixel region and width, the position of described pixel region and width data can be stored in nonvolatile memory.
Step S505, gathers fingerprint image.
Step S506, calculates described difference and exceedes the forefoot area of the pixel region of preset value and the pixel average of rear region, exceed the pixel value of pixel in the pixel region of preset value, obtain revised fingerprint image as described difference.
In concrete enforcement, the position of the pixel region obtained before can reading from described nonvolatile memory and width, thus image mending is carried out to described pixel region.
In concrete enforcement, the width of described pixel region forefoot area is identical with the width of described pixel region, and the width of described pixel region rear region is identical with the width of described pixel region.
Such as, as shown in Figure 3, when described pixel region, when the width of the gap area namely formed by the mosaic between silicon chip is 1 pixel size as pixel 31 in figure, described pixel region forefoot area is pixel 32, and described pixel region rear region is pixel 33.By calculating the pixel average of described pixel 32 and pixel 33, and using the pixel value of described pixel average as described pixel 31, the repairing to pixel 31 and 32 can be completed.In like manner other pixels of described image lack part are repaired, the repairing to fingerprint image can be completed.
As shown in Figure 4, when described pixel region, the width of the gap area namely formed by the mosaic between silicon chip be 2 pixel sizes as in figure pixel 41 and 42 time, described pixel region forefoot area is pixel 43 and 44, and described pixel region rear region is pixel 45 and 46.By calculating the pixel average of described pixel 43,44,45 and 46, and using the pixel value of described pixel average as described pixel 41 and 42, the repairing to pixel 41 and 42 can be completed.In like manner other pixels of described image lack part are repaired, the repairing to fingerprint image can be completed.
When the width of described gap area comprises the pixel of more than 2, the width also corresponding increase of described forefoot area and rear region, its repairing principle is identical with above-mentioned concrete enforcement, repeats no more herein.
In concrete enforcement, after completing the repairing to described fingerprint image by described step S506, can also noise reduction be carried out the fingerprint image repaired and strengthen process, remove the noise that electrical signal noise causes, improve picture quality.Such as, noise reduction can be carried out by Gauss's noise reduction algorithm to the fingerprint image after reparation and strengthen process.
The embodiment of the invention also discloses a kind of prosthetic device of fingerprint image.As shown in Figure 6, the prosthetic device 60 of described fingerprint image can comprise:
First collecting unit 601, for gathering blank background image.
Scanning element 602, for scanning described blank background image.
Computing unit 603, the difference for obtaining pixel value and standard pixel value in described blank background image exceedes the pixel region of preset value.
Identifying unit 604, for determining position and the width of described pixel region.
Second collecting unit 605, gathers fingerprint image.
Adjustment unit, for calculating the pixel average of described pixel region forefoot area and rear region, as the pixel value of pixel in described pixel region, obtains revised fingerprint image.
In concrete enforcement, described scanning element 602 may be used for scanning subregional pixel value in the middle part of described blank background image, specifically, can be the pixel value presetting line number data in the described blank background image of scanning.Why do not take full figure analysis to be because the mosaic of silicon chip is equally distributed in vertical direction to described blank background image, for reducing calculated amount, reducing memory consumption, adopting local segment just can carry out analysis and judging.Such as, the data can choosing 90 row in described blank background image scan.
In above-mentioned concrete enforcement, the data of default columns can also be chosen in described blank background image, form block with the data of described default line number, scan.Such as, when choosing 90 row data and carrying out analysis scan, then by the block of 30*30, scanning judgement is carried out to described 90 row data, determine position and the width information in gap.After completing the scanning to a block, perform the scanning to next block, until complete the scanning to all blocks.
In concrete enforcement, the width that described difference exceedes the pixel region forefoot area of preset value is identical with the width of described pixel region; The width that described difference exceedes the pixel region rear region of preset value is identical with the width of described pixel region.
In concrete enforcement, described prosthetic device can also comprise: noise reduction unit 607, for carrying out noise reduction process to described revised fingerprint image, to remove the noise that electrical signal noise causes, improves picture quality.In the optional embodiment of one, noise reduction can be carried out by Gauss's noise reduction algorithm to the fingerprint image after reparation and strengthen process.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is that the hardware that can carry out instruction relevant by program has come, this program can be stored in a computer-readable recording medium, and storage medium can comprise: ROM, RAM, disk or CD etc.
Although the present invention discloses as above, the present invention is not defined in this.Any those skilled in the art, without departing from the spirit and scope of the present invention, all can make various changes or modifications, and therefore protection scope of the present invention should be as the criterion with claim limited range.
Claims (14)
1. a restorative procedure for fingerprint image, is characterized in that, comprising:
Gather blank background image;
Scan described blank background image, the difference obtaining pixel value and standard pixel value in described blank background image exceedes the pixel region of preset value;
Determine that described difference exceedes position and the width of the pixel region of preset value;
Gather fingerprint image;
Calculate described difference and exceed the forefoot area of the pixel region of preset value and the pixel average of rear region, exceed the pixel value of pixel in the pixel region of preset value as described difference, obtain revised fingerprint image.
2. restorative procedure as claimed in claim 1, it is characterized in that, the described blank background image of described scanning comprises: scan subregional pixel value in the middle part of described blank background image.
3. restorative procedure as claimed in claim 2, it is characterized in that, subregional pixel value in the middle part of the described blank background image of described scanning, comprising: scan the pixel value presetting line number view data in described blank background image.
4. restorative procedure as claimed in claim 3, it is characterized in that, described default line number is 90 row.
5. restorative procedure as claimed in claim 3, it is characterized in that, subregional pixel value in the middle part of the described blank background image of described scanning, also comprises: the data choosing default columns in described blank background image, form block with the data of described default line number, scan.
6. restorative procedure as claimed in claim 1, is characterized in that,
The width that described difference exceedes the pixel region forefoot area of preset value is identical with the width of described pixel region;
The width that described difference exceedes the pixel region rear region of preset value is identical with the width of described pixel region.
7. restorative procedure as claimed in claim 1, is characterized in that, also comprise: carry out noise reduction process to described revised fingerprint image.
8. a prosthetic device for fingerprint image, is characterized in that, comprising:
First collecting unit, for gathering blank background image;
Scanning element, for scanning described blank background image;
Computing unit, the difference for obtaining pixel value and standard pixel value in described blank background image exceedes the pixel region of preset value;
Identifying unit, for determining that described difference exceedes position and the width of the pixel region of preset value;
Second collecting unit, gathers fingerprint image;
Adjustment unit, exceeding the pixel region forefoot area of preset value and the pixel average of rear region for calculating described difference, exceeding the pixel value of pixel in the pixel region of preset value, obtain revised fingerprint image as described difference.
9. prosthetic device as claimed in claim 8, it is characterized in that, described scanning element is for scanning subregional pixel value in the middle part of described blank background image.
10. prosthetic device as claimed in claim 9, is characterized in that, described scanning element presets the pixel value of line number data in described blank background image for scanning.
11. prosthetic devices as claimed in claim 10, it is characterized in that, described default line number is 90 row.
12. prosthetic devices as claimed in claim 10, is characterized in that, described scanning element is used for the data choosing default columns in described blank background image, forms block, scan with the data of described default line number.
13. prosthetic devices as claimed in claim 8, is characterized in that,
The width that described difference exceedes the pixel region forefoot area of preset value is identical with the width of described pixel region;
The width that described difference exceedes the pixel region rear region of preset value is identical with the width of described pixel region.
14. prosthetic devices as claimed in claim 8, is characterized in that, also comprise: noise reduction unit, for carrying out noise reduction process to described revised fingerprint image.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105956541A (en) * | 2016-04-27 | 2016-09-21 | 广东欧珀移动通信有限公司 | Fingerprint identification method, device and mobile terminal |
| CN106446775A (en) * | 2016-08-26 | 2017-02-22 | 广东欧珀移动通信有限公司 | Fingerprint identification method and device, and electronic equipment |
| CN108761196A (en) * | 2018-03-30 | 2018-11-06 | 国家电网公司 | A kind of intelligent electric meter user missing voltage data restorative procedure |
| CN110287899A (en) * | 2019-06-27 | 2019-09-27 | Oppo广东移动通信有限公司 | Region fingerprint identification method and Related product |
| CN113158837A (en) * | 2021-04-01 | 2021-07-23 | 深圳阜时科技有限公司 | Fingerprint image edge repairing method based on direction field |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1766588A (en) * | 2005-09-30 | 2006-05-03 | 河海大学 | Intelligent processing method for repairing concrete crack surface image |
| US8229184B2 (en) * | 2004-04-16 | 2012-07-24 | Validity Sensors, Inc. | Method and algorithm for accurate finger motion tracking |
| CN102682428A (en) * | 2012-04-18 | 2012-09-19 | 浙江大学城市学院 | Fingerprint image computer automatic mending method based on direction fields |
| CN103827890A (en) * | 2011-09-25 | 2014-05-28 | 奥森泰克公司 | Electronic device including finger sensor and related methods |
-
2015
- 2015-06-09 CN CN201510312673.5A patent/CN104915652A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8229184B2 (en) * | 2004-04-16 | 2012-07-24 | Validity Sensors, Inc. | Method and algorithm for accurate finger motion tracking |
| CN1766588A (en) * | 2005-09-30 | 2006-05-03 | 河海大学 | Intelligent processing method for repairing concrete crack surface image |
| CN103827890A (en) * | 2011-09-25 | 2014-05-28 | 奥森泰克公司 | Electronic device including finger sensor and related methods |
| CN102682428A (en) * | 2012-04-18 | 2012-09-19 | 浙江大学城市学院 | Fingerprint image computer automatic mending method based on direction fields |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105956541A (en) * | 2016-04-27 | 2016-09-21 | 广东欧珀移动通信有限公司 | Fingerprint identification method, device and mobile terminal |
| CN105956541B (en) * | 2016-04-27 | 2018-09-11 | 广东欧珀移动通信有限公司 | Fingerprint identification method, device and mobile terminal |
| CN106446775A (en) * | 2016-08-26 | 2017-02-22 | 广东欧珀移动通信有限公司 | Fingerprint identification method and device, and electronic equipment |
| CN106446775B (en) * | 2016-08-26 | 2019-09-17 | Oppo广东移动通信有限公司 | A kind of fingerprint identification method, device and electronic equipment |
| CN108761196A (en) * | 2018-03-30 | 2018-11-06 | 国家电网公司 | A kind of intelligent electric meter user missing voltage data restorative procedure |
| CN110287899A (en) * | 2019-06-27 | 2019-09-27 | Oppo广东移动通信有限公司 | Region fingerprint identification method and Related product |
| CN110287899B (en) * | 2019-06-27 | 2022-01-11 | Oppo广东移动通信有限公司 | Area fingerprint identification method and related product |
| CN113158837A (en) * | 2021-04-01 | 2021-07-23 | 深圳阜时科技有限公司 | Fingerprint image edge repairing method based on direction field |
| CN113158837B (en) * | 2021-04-01 | 2024-02-20 | 深圳阜时科技有限公司 | Fingerprint image edge repairing method based on direction field |
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