CN105303173A - Method and device for reducing misrecognition rate - Google Patents
Method and device for reducing misrecognition rate Download PDFInfo
- Publication number
- CN105303173A CN105303173A CN201510681066.6A CN201510681066A CN105303173A CN 105303173 A CN105303173 A CN 105303173A CN 201510681066 A CN201510681066 A CN 201510681066A CN 105303173 A CN105303173 A CN 105303173A
- Authority
- CN
- China
- Prior art keywords
- image data
- fingerprint
- fingerprint image
- reference image
- fingerprint sensor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
Abstract
The invention discloses a method and device for reducing the misrecognition rate. The method comprises that when it is detected that a fingerprint sensor is not pressed by a finger, obtained zero-load image data of the fingerprint sensor serves as reference image data; when the fingerprint sensor is pressed by the finger, fingerprint image data is obtained; new fingerprint image data is obtained by subtracting the reference image data from the fingerprint image data; and the new fingerprint image data is used for fingerprint recognition. According to technical scheme of the invention, errors caused by offset of reference value of the fingerprint sensor can be eliminated, the misrecognition rate of the fingerprint recognition system is reduced, and the service life of the fingerprint sensor is prolonged.
Description
Technical field
The embodiment of the present invention relates to fingerprint identification technology field, particularly relates to a kind of method and apparatus reducing false recognition rate.
Background technology
Fingerprint identification technology, refers to the technology that some feature utilizing fingerprint identifies its main body and confirms.Fingerprint recognition system adopts fingerprint identification technology, and its principle of work is: registration in advance fingerprint, and the fingerprint template formed through algorithm process is kept on certain medium; During checking, the fingerprint template of comparison fingerprint on site and preservation, comparison result determines whether pass through authentication.The kernal hardware equipment of fingerprint recognition system is exactly fingerprint sensor.
For capacitive fingerprint sensor, because device surface is along with passage of time, reference value can change.Due to the change of reference value, the fingerprint image characteristics that fingerprint recognition system is extracted may be more close, and the false recognition rate of fingerprint recognition system can raise.
Summary of the invention
The embodiment of the present invention provides a kind of method and apparatus reducing false recognition rate, to reduce the false recognition rate of fingerprint recognition system.
On the one hand, embodiments provide a kind of method reducing false recognition rate, comprising:
When detecting without finger presses fingerprint sensor, using the unloaded view data of the fingerprint sensor of acquisition as reference image data;
When there being finger presses fingerprint sensor, obtain fingerprint image data;
Described fingerprint image data is deducted described reference image data, obtains new fingerprint image data;
Described new fingerprint image data is used to carry out fingerprint recognition.
On the other hand, the embodiment of the present invention additionally provides a kind of device reducing false recognition rate, comprising:
Reference image data acquiring unit, for when detecting without finger presses fingerprint sensor, using the unloaded view data of the fingerprint sensor of acquisition as reference image data;
Fingerprint image data acquiring unit, for when there being finger presses fingerprint sensor, obtains fingerprint image data;
Fingerprint image data updating block, for described fingerprint image data is deducted described reference image data, obtains new fingerprint image data;
Fingerprint identification unit, carries out fingerprint recognition for using described new fingerprint image data.
The technical scheme that the embodiment of the present invention provides, when finger does not press fingerprint sensor, obtain the unloaded view data of fingerprint as reference image data, and use the fingerprint image data obtained to deduct reference image data, obtain new fingerprint image data, the error that the skew that new fingerprint image data effectively eliminates reference value causes, finally uses new fingerprint image data to carry out fingerprint recognition, can reduce the false recognition rate of fingerprint recognition system.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, introduce doing one to the accompanying drawing used required in embodiment or description of the prior art simply below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of schematic flow sheet reducing the method for false recognition rate that the embodiment of the present invention one provides;
Fig. 2 is a kind of schematic flow sheet reducing the method for false recognition rate that the embodiment of the present invention two provides;
Fig. 3 is a kind of structural representation reducing the device of false recognition rate that the embodiment of the present invention three provides.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, hereinafter with reference to the accompanying drawing in the embodiment of the present invention, by embodiment, technical scheme of the present invention is described clearly and completely, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Embodiment one
Fig. 1 is a kind of schematic flow sheet reducing the method for false recognition rate that the embodiment of the present invention one provides.The method can be performed by the device of the reduction false recognition rate configured in the terminal, and described device can by software and/or hardware implementing.As shown in Figure 1, the method for reduction false recognition rate that the present embodiment provides specifically comprises the steps:
S110, when detecting without finger presses fingerprint sensor, using the unloaded view data of fingerprint sensor that obtains as reference image data;
Wherein, described fingerprint sensor can be capacitive fingerprint sensing device.Its course of work is: fingerprint sensor comprises multiple sensing unit, capacitive sensing unit on each pixel is charged to a certain reference voltage, when finger contact is to fingerprint sensor, sensing unit discharges, the valley being projection due to ridge on fingerprint is recessed, capacitance and distance dependent, different capacitances can be formed at the place in ridge and valley, therefore the velocity of discharge at ridge and valley place is also different, sensing unit (electric capacity the is high) electric discharge at ridge place is slower, and sensing unit (electric capacity the is low) electric discharge being in valley place is very fast, according to the difference of discharge rate, the position in ridge and valley can be detected, thus formation fingerprint image data.
Under normal circumstances, when without finger presses fingerprint sensor, the unloaded view data that fingerprint sensor obtains generally is zero (entirely black or entirely white), fingerprint sensor is through using for a long time, and performance can decline to some extent, and the sensitive surface of the sensing unit of fingerprint sensor can change, even without finger presses, also non-vanishing fingerprint image data can be detected, now, can using the unloaded view data of the fingerprint sensor of acquisition as reference image data.
Obtain without unloaded view data during finger presses as reference image data time, in order to improve the Stability and veracity of the reference image data of acquisition, can repeatedly obtain without unloaded view data during finger presses fingerprint sensor; Many groups of described acquisition unloaded view data are weighted on average, and using the view data that obtains after weighted mean as reference image data.
Be the pixel value of the fingerprint image of the matrix representation of N × N as fingerprint image data, represent with O (i, j) and obtain the unloaded view data O of n group by the pixel value that benchmark image i-th row jth arranges
1, O
2..., O
nafter, then can by k
1o
1+ k
2o
2+ ... + k
no
nas reference image data.Wherein, k
1, k
2..., k
nfor weighting coefficient; value can be carried out to it according to actual conditions; as once unloaded view data can be obtained every setting-up time; time, weighting coefficient was relatively large more rearward; because fingerprint sensor is along with use; reference value can constantly change, and chooses according to the length of service time stability and the accuracy that weighting coefficient can guarantee reference image data.When setting-up time is shorter, O can be got
1, O
2..., O
nmean value, by k
1, k
2..., k
nall be set to 1/n.
S120, when there being finger presses fingerprint sensor, obtain fingerprint image data;
When there being finger presses fingerprint sensor, obtain normal fingerprint image data, the fingerprint image data of acquisition can be used for carrying out fingerprint recognition, but when the deviation of reference value is excessive, the false recognition rate of fingerprint recognition system can rise, and affects user and uses.
S130, described fingerprint image data is deducted described reference image data, obtain new fingerprint image data;
Through using for a long time, the reference value of fingerprint sensor can offset to some extent, reference image data is deducted when using the fingerprint image data obtained, the new fingerprint image data obtained can eliminate the error that the skew due to reference value brings, and guarantees the false recognition rate that can reduce fingerprint recognition system when using new fingerprint image data to carry out fingerprint recognition.
S140, described new fingerprint image data is used to carry out fingerprint recognition.
The technical scheme that the present embodiment provides, when finger does not press fingerprint sensor, obtain the unloaded view data of fingerprint as reference image data, and average treatment is weighted to many group reference image data, improve the accuracy of reference image data, then the fingerprint image data of acquisition is used to deduct reference image data, obtain new fingerprint image data, the error that the skew that new fingerprint image data effectively eliminates reference value causes, finally use new fingerprint image data to carry out fingerprint recognition, the false recognition rate of fingerprint recognition system can be reduced.
Embodiment two
Fig. 2 is a kind of schematic flow sheet reducing the method for false recognition rate that the embodiment of the present invention two provides.The present embodiment on the basis of embodiment one, increases correlation step and is optimized correlation step.As shown in Figure 2, the method for reduction false recognition rate that this enforcement provides comprises the steps:
S210, when detecting without finger presses fingerprint sensor, using the unloaded view data of fingerprint sensor that obtains as reference image data;
S220, when there being finger presses fingerprint sensor, obtain fingerprint image data;
S230, the reference image data of described acquisition and fingerprint image data to be stored;
Finger print data is processed conveniently, can the reference image data of acquisition and fingerprint image data be stored in the storer of fingerprint recognition system, during as used fingerprint sensor in mobile phone, the reference image data obtain cell phone processor and fingerprint image data are stored in mobile phone EMS memory.
S240, the gray-scale value of respective pixel in the gray-scale value of each pixel in described fingerprint image data and described reference image data to be subtracted each other, obtain new fingerprint image data;
The fingerprint image data essence obtained is the gray-scale value of each pixel of fingerprint image with numeric representation, as set fingerprint image as the matrix of N × N, with I (i, j) grey scale pixel value of fingerprint image i-th row jth row is represented, with Z (i, j) grey scale pixel value of benchmark image i-th row jth row is represented, i-th row jth of the fingerprint image data then newly obtained is classified as K (i, j)=I (i, j)-Z (i, j), the gray-scale value of the pixel respectively arranged by each for fingerprint image row deducts the gray-scale value of the pixel of the corresponding row and column of benchmark image, one group of new fingerprint image data can be obtained.
S250, described new fingerprint image data is used to carry out fingerprint recognition.
The process of fingerprint recognition is the process of a fingerprint authentication and identification, needs to use the fingerprint image gathered to mate with the template fingerprint stored in fingerprint database.After obtaining fingerprint image data, original fingerprint image can be generated according to fingerprint image data, use original fingerprint image to carry out fingerprint recognition.
Further, the unique point of image corresponding to described new fingerprint image data is extracted;
First corresponding fingerprint algorithm is adopted to carry out pre-service to original fingerprint image, pre-service refers to and adopts certain algorithm to be processed to the fingerprint image of Noise and pseudo-characteristic, makes its streakline clear in structure, and characteristic information is given prominence to, improve the quality of fingerprint image, improve the accuracy of feature extraction.Usually, preprocessing process comprises the process such as normalization, Iamge Segmentation, enhancing, binaryzation.Then extract the minutia of fingerprint, the unique point of extraction is as the starting point of streakline, terminal, binding site and bifurcation etc.
Further, the unique point of described extraction is mated with the fingerprint template pre-set.
The coupling of the coupling of fingerprint image mainly unique point, what store in the fingerprint template pre-set is the fingerprint feature point extracted according to the fingerprint image of typing in advance, the process that the unique point of the fingerprint image of extraction and the fingerprint template pre-set carry out mating mainly is calculated the unique point of the fingerprint image of extraction and the similarity degree of the feature templates stored, as passed through coupling, the similarity degree of the two reaches setting threshold value, then represent that the match is successful.
The technical scheme that the present embodiment provides, finger print data is stored, fingerprint recognition system is facilitated to call, pixel value in the fingerprint image data obtained is processed, can accurately obtain new fingerprint image data, extract the unique point of new fingerprint image and carry out match cognization, reducing the false recognition rate of fingerprint recognition system.
Embodiment three
Fig. 3 is a kind of structural representation reducing the device of false recognition rate that the embodiment of the present invention three provides.As shown in Figure 3, this device comprises:
Reference image data acquiring unit 310, for when detecting without finger presses fingerprint sensor, using the unloaded view data of the fingerprint sensor of acquisition as reference image data;
Fingerprint image data acquiring unit 320, for when there being finger presses fingerprint sensor, obtains fingerprint image data;
Fingerprint image data updating block 330, for described fingerprint image data is deducted described reference image data, obtains new fingerprint image data;
Fingerprint identification unit 340, carries out fingerprint recognition for using described new fingerprint image data.
Further, described reference image data acquiring unit 310 comprises:
Unloaded image data acquisition subelement 311, for repeatedly obtaining without unloaded view data during finger presses fingerprint sensor;
Reference image data obtains subelement 312, for many groups of described acquisition unloaded view data being weighted on average, and using the view data that obtains after weighted mean as reference image data.
Further, described fingerprint image data updating block 330 specifically for:
The gray-scale value of respective pixel in the gray-scale value of each pixel in described fingerprint image data and described reference image data is subtracted each other, obtains new fingerprint image data.
Further, described device also comprises:
Image data memory cell 350, for storing the reference image data of described acquisition and fingerprint image data.
Further, described fingerprint identification unit 340 comprises:
Feature point extraction subelement 341, for extracting the unique point of image corresponding to described new fingerprint image data;
Feature Points Matching subelement 342, for mating the unique point of described extraction with the fingerprint template pre-set.
Said apparatus can perform the method for the reduction false recognition rate that any embodiment of the present invention provides, and possesses the corresponding functional module of manner of execution and beneficial effect.
Note, above are only preferred embodiment of the present invention and institute's application technology principle.Skilled person in the art will appreciate that and the invention is not restricted to specific embodiment described here, various obvious change can be carried out for a person skilled in the art, readjust and substitute and can not protection scope of the present invention be departed from.Therefore, although be described in further detail invention has been by above embodiment, the present invention is not limited only to above embodiment, when not departing from the present invention's design, can also comprise other Equivalent embodiments more, and scope of the present invention is determined by appended right.
Claims (10)
1. reduce a method for false recognition rate, it is characterized in that, comprising:
When detecting without finger presses fingerprint sensor, using the unloaded view data of the fingerprint sensor of acquisition as reference image data;
When there being finger presses fingerprint sensor, obtain fingerprint image data;
Described fingerprint image data is deducted described reference image data, obtains new fingerprint image data;
Described new fingerprint image data is used to carry out fingerprint recognition.
2. method according to claim 1, is characterized in that, described when detecting without finger presses fingerprint sensor, using the unloaded view data of the fingerprint sensor of acquisition as reference image data, comprising:
Repeatedly obtain without unloaded view data during finger presses fingerprint sensor;
Many groups of described acquisition unloaded view data are weighted on average, and using the view data that obtains after weighted mean as reference image data.
3. method according to claim 1, is characterized in that, described described fingerprint image data is deducted described reference image data, obtains new fingerprint image data, comprising:
The gray-scale value of respective pixel in the gray-scale value of each pixel in described fingerprint image data and described reference image data is subtracted each other, obtains new fingerprint image data.
4. method according to claim 1, is characterized in that, described described fingerprint image data is deducted described reference image data before, also comprise:
The reference image data of described acquisition and fingerprint image data are stored.
5. method according to claim 1, is characterized in that, the described new fingerprint image data of described use carries out fingerprint recognition, comprising:
Extract the unique point of image corresponding to described new fingerprint image data;
The unique point of described extraction is mated with the fingerprint template pre-set.
6. reduce a device for false recognition rate, it is characterized in that, comprising:
Reference image data acquiring unit, for when detecting without finger presses fingerprint sensor, using the unloaded view data of the fingerprint sensor of acquisition as reference image data;
Fingerprint image data acquiring unit, for when there being finger presses fingerprint sensor, obtains fingerprint image data;
Fingerprint image data updating block, for described fingerprint image data is deducted described reference image data, obtains new fingerprint image data;
Fingerprint identification unit, carries out fingerprint recognition for using described new fingerprint image data.
7. device according to claim 6, is characterized in that, described reference image data acquiring unit comprises:
Unloaded image data acquisition subelement, for repeatedly obtaining without unloaded view data during finger presses fingerprint sensor;
Reference image data obtains subelement, for many groups of described acquisition unloaded view data being weighted on average, and using the view data that obtains after weighted mean as reference image data.
8. device according to claim 6, is characterized in that, described fingerprint image data updating block specifically for:
The gray-scale value of respective pixel in the gray-scale value of each pixel in described fingerprint image data and described reference image data is subtracted each other, obtains new fingerprint image data.
9. device according to claim 6, is characterized in that, described device also comprises:
Image data memory cell, for storing the reference image data of described acquisition and fingerprint image data.
10. device according to claim 6, is characterized in that, described fingerprint identification unit comprises:
Feature point extraction subelement, for extracting the unique point of image corresponding to described new fingerprint image data;
Feature Points Matching subelement, for mating the unique point of described extraction with the fingerprint template pre-set.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510681066.6A CN105303173A (en) | 2015-10-19 | 2015-10-19 | Method and device for reducing misrecognition rate |
| PCT/CN2016/091867 WO2017067264A1 (en) | 2015-10-19 | 2016-07-27 | Method and device for reducing misrecognition rate and smart mobile terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510681066.6A CN105303173A (en) | 2015-10-19 | 2015-10-19 | Method and device for reducing misrecognition rate |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105303173A true CN105303173A (en) | 2016-02-03 |
Family
ID=55200417
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510681066.6A Pending CN105303173A (en) | 2015-10-19 | 2015-10-19 | Method and device for reducing misrecognition rate |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN105303173A (en) |
| WO (1) | WO2017067264A1 (en) |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105913027A (en) * | 2016-04-13 | 2016-08-31 | 时建华 | Data transmission method with high safety |
| CN105930776A (en) * | 2016-04-13 | 2016-09-07 | 时建华 | High tension switchgear with identity verification function |
| CN105930777A (en) * | 2016-04-13 | 2016-09-07 | 时建华 | ATM (Automatic Teller Machine) using fingerprint for identification |
| 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 |
| CN105956564A (en) * | 2016-05-06 | 2016-09-21 | 广东欧珀移动通信有限公司 | Fingerprint image processing method and equipment |
| CN106203326A (en) * | 2016-07-07 | 2016-12-07 | 广东欧珀移动通信有限公司 | A kind of image processing method, device and mobile terminal |
| CN106203281A (en) * | 2016-06-27 | 2016-12-07 | 广东欧珀移动通信有限公司 | A kind of fingerprint image processing method and equipment |
| WO2017067264A1 (en) * | 2015-10-19 | 2017-04-27 | 广东欧珀移动通信有限公司 | Method and device for reducing misrecognition rate and smart mobile terminal |
| CN107133577A (en) * | 2017-04-18 | 2017-09-05 | 北京小米移动软件有限公司 | A kind of fingerprint identification method and device |
| CN107231240A (en) * | 2017-07-06 | 2017-10-03 | 郑州靓岛建筑设计有限公司 | A kind of higher dual identity recognition methods of security |
| CN107392161A (en) * | 2017-07-27 | 2017-11-24 | 北京小米移动软件有限公司 | The recognition methods of biological information and device, computer-readable recording medium |
| CN107886083A (en) * | 2017-11-27 | 2018-04-06 | 北京小米移动软件有限公司 | The method, apparatus and readable storage medium storing program for executing of fingerprint module calibration |
| CN108604294A (en) * | 2016-08-04 | 2018-09-28 | 华为技术有限公司 | Fingerprint processing method and terminal in terminal |
| CN109074493A (en) * | 2017-03-10 | 2018-12-21 | 指纹卡有限公司 | Inhibit the damage data in fingerprint image |
| CN109241859A (en) * | 2018-08-13 | 2019-01-18 | Oppo广东移动通信有限公司 | Fingerprint identification method and Related product |
| CN109711308A (en) * | 2018-12-19 | 2019-05-03 | 北京集创北方科技股份有限公司 | Fingerprint component, electronic equipment and its fingerprint signal processing method |
| CN113312944A (en) * | 2020-02-27 | 2021-08-27 | 北京小米移动软件有限公司 | Image acquisition method, calibration method, under-screen fingerprint identification device and mobile terminal |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20210047996A (en) | 2019-10-22 | 2021-05-03 | 삼성디스플레이 주식회사 | Display device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1257595A (en) * | 1997-04-21 | 2000-06-21 | 数字人公司 | Fingerprint recognition system |
| CN1542684A (en) * | 2003-04-28 | 2004-11-03 | 上海科比生物识别技术有限公司 | Acquisition and splicing method of three-face rolling fingerprint |
| CN101819630A (en) * | 2010-04-09 | 2010-09-01 | 浙江理工大学 | Fingerprint identification system and identification method based on pressure sensitivity fingerprint acquisition and DSP (Digital Signal Processing) algorithm |
| CN103886297A (en) * | 2014-03-26 | 2014-06-25 | 浙江大学 | Dynamic optical detection method for true and false fingerprints |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| SE0501763L (en) * | 2005-08-03 | 2007-02-04 | Precise Biometrics Ab | Method and apparatus for aligning a loaded fingerprint |
| CN105303173A (en) * | 2015-10-19 | 2016-02-03 | 广东欧珀移动通信有限公司 | Method and device for reducing misrecognition rate |
-
2015
- 2015-10-19 CN CN201510681066.6A patent/CN105303173A/en active Pending
-
2016
- 2016-07-27 WO PCT/CN2016/091867 patent/WO2017067264A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1257595A (en) * | 1997-04-21 | 2000-06-21 | 数字人公司 | Fingerprint recognition system |
| CN1542684A (en) * | 2003-04-28 | 2004-11-03 | 上海科比生物识别技术有限公司 | Acquisition and splicing method of three-face rolling fingerprint |
| CN101819630A (en) * | 2010-04-09 | 2010-09-01 | 浙江理工大学 | Fingerprint identification system and identification method based on pressure sensitivity fingerprint acquisition and DSP (Digital Signal Processing) algorithm |
| CN103886297A (en) * | 2014-03-26 | 2014-06-25 | 浙江大学 | Dynamic optical detection method for true and false fingerprints |
Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017067264A1 (en) * | 2015-10-19 | 2017-04-27 | 广东欧珀移动通信有限公司 | Method and device for reducing misrecognition rate and smart mobile terminal |
| CN105930776A (en) * | 2016-04-13 | 2016-09-07 | 时建华 | High tension switchgear with identity verification function |
| CN105930777A (en) * | 2016-04-13 | 2016-09-07 | 时建华 | ATM (Automatic Teller Machine) using fingerprint for identification |
| CN105913027A (en) * | 2016-04-13 | 2016-08-31 | 时建华 | Data transmission method with high safety |
| 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 |
| CN105956564A (en) * | 2016-05-06 | 2016-09-21 | 广东欧珀移动通信有限公司 | Fingerprint image processing method and equipment |
| CN106203281A (en) * | 2016-06-27 | 2016-12-07 | 广东欧珀移动通信有限公司 | A kind of fingerprint image processing method and equipment |
| CN106203281B (en) * | 2016-06-27 | 2017-10-31 | 广东欧珀移动通信有限公司 | A kind of fingerprint image processing method and equipment |
| CN106203326A (en) * | 2016-07-07 | 2016-12-07 | 广东欧珀移动通信有限公司 | A kind of image processing method, device and mobile terminal |
| CN106203326B (en) * | 2016-07-07 | 2018-07-27 | 广东欧珀移动通信有限公司 | A kind of image processing method, device and mobile terminal |
| CN108604294A (en) * | 2016-08-04 | 2018-09-28 | 华为技术有限公司 | Fingerprint processing method and terminal in terminal |
| CN109074493A (en) * | 2017-03-10 | 2018-12-21 | 指纹卡有限公司 | Inhibit the damage data in fingerprint image |
| CN109074493B (en) * | 2017-03-10 | 2020-06-02 | 指纹卡有限公司 | Suppressing damage data in fingerprint images |
| CN107133577A (en) * | 2017-04-18 | 2017-09-05 | 北京小米移动软件有限公司 | A kind of fingerprint identification method and device |
| CN107133577B (en) * | 2017-04-18 | 2020-02-07 | 北京小米移动软件有限公司 | Fingerprint identification method and device |
| CN107231240A (en) * | 2017-07-06 | 2017-10-03 | 郑州靓岛建筑设计有限公司 | A kind of higher dual identity recognition methods of security |
| CN107392161A (en) * | 2017-07-27 | 2017-11-24 | 北京小米移动软件有限公司 | The recognition methods of biological information and device, computer-readable recording medium |
| CN107886083A (en) * | 2017-11-27 | 2018-04-06 | 北京小米移动软件有限公司 | The method, apparatus and readable storage medium storing program for executing of fingerprint module calibration |
| WO2020034710A1 (en) * | 2018-08-13 | 2020-02-20 | Oppo广东移动通信有限公司 | Fingerprint recognition method and related product |
| CN109241859A (en) * | 2018-08-13 | 2019-01-18 | Oppo广东移动通信有限公司 | Fingerprint identification method and Related product |
| CN109241859B (en) * | 2018-08-13 | 2021-05-04 | Oppo广东移动通信有限公司 | Fingerprint identification method and related product |
| CN109711308A (en) * | 2018-12-19 | 2019-05-03 | 北京集创北方科技股份有限公司 | Fingerprint component, electronic equipment and its fingerprint signal processing method |
| CN109711308B (en) * | 2018-12-19 | 2021-06-01 | 北京集创北方科技股份有限公司 | Fingerprint assembly, electronic equipment and fingerprint signal processing method thereof |
| CN113312944A (en) * | 2020-02-27 | 2021-08-27 | 北京小米移动软件有限公司 | Image acquisition method, calibration method, under-screen fingerprint identification device and mobile terminal |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017067264A1 (en) | 2017-04-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105303173A (en) | Method and device for reducing misrecognition rate | |
| CN107748877B (en) | Fingerprint image identification method based on minutiae and textural features | |
| US20190087623A1 (en) | Method and Apparatus for Fingerprint Collection | |
| Raja | Fingerprint recognition using minutia score matching | |
| US10169640B2 (en) | Method for fingerprint identification and terminal | |
| WO2018143873A1 (en) | Method for authenticating a finger of a user of an electronic device | |
| CN109934180B (en) | Fingerprint identification method and related device | |
| US20080298648A1 (en) | Method and system for slap print segmentation | |
| CN105303174B (en) | fingerprint input method and device | |
| EP3349140A1 (en) | Fingerprint ridge point recognition method and apparatus | |
| US20080273769A1 (en) | Print matching method and system using direction images | |
| WO2017161636A1 (en) | Fingerprint-based terminal payment method and device | |
| WO2018213946A1 (en) | Image recognition method, image recognition device, electronic device, and computer storage medium | |
| WO2008054940A2 (en) | Print matching method and apparatus using pseudo-ridges | |
| Shalaby et al. | A multilevel structural technique for fingerprint representation and matching | |
| US20070292005A1 (en) | Method and apparatus for adaptive hierarchical processing of print images | |
| US9704015B2 (en) | Fingerprint image processing method and device | |
| Patel et al. | An improved approach in fingerprint recognition algorithm | |
| CN104036245A (en) | Biometric feature recognition method based on on-line feature point matching | |
| Bahaa-Eldin | A medium resolution fingerprint matching system | |
| WO2006062378A1 (en) | Fingerprint recognition method | |
| Agrawal et al. | A hybrid partial fingerprint matching algorithm for estimation of equal error rate | |
| Madhavi et al. | Rectification of distortion in single rolled fingerprint | |
| Khongkraphan | An efficient fingerprint matching by multiple reference points | |
| CN111126160A (en) | Intelligent Chinese character structure evaluation method and system constructed based on five-stroke input method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160203 |