CN101079106A - Different fingerprint sensor image information compatible fingerprint identification method - Google Patents
Different fingerprint sensor image information compatible fingerprint identification method Download PDFInfo
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Abstract
The invention relates to a fingerprint identification method, which comprises the following steps: collecting the fingerprint mold image; collecting the identifying fingerprint image; comparing the identifying fingerprint image with the fingerprint mold image with correlation method of the fingerprint similarity; determining if two images are the same finger image according to the comparison result; adjusting the resolution ratio and the size according to the same format with the image compression algorithm before the comparison of the identifying fingerprint image and the fingerprint mold image. The invention assembles different type sensor to a set of fingerprint identification system, which is fit for most of people, can apply the fingerprint data acquired by a fingerprint sensor to the other fingerprint sensor product directly.
Description
Technical field
The present invention relates to field of biological recognition, particularly, relate to a kind of fingerprint identification method.
Background technology
Development along with computer information technology, people's life has progressed into the digitalized network epoch, its work and life and computing machine and virtual network are closely linked, and tradition can only prove that based on the account management pattern of password a people's operation but can't confirm its real biological identity.And the inherent physiological characteristic fingerprint of people, iris, DNA etc. all have uniqueness and non repudiation, are the optimal selections that is used for discerning the biological identity of people, and therefore multiple biological identification technology develops into the mainstream technology of identification gradually or.
Fingerprint identification technology is as the most convenient biological identification technology efficiently, obtained development at full speed in a plurality of applications in recent years, fingerprint can carry out related with its biological identity people's operation behavior, navigate to operator's social role quickly and accurately, can change the management mode of most computer systems effectively, promote the update of existing identity management techniques based on password.
Conventional fingerprint application comprises two operating process: the registration of fingerprint template and the checking of fingerprint template in real time.The basic data that fingerprint template is used for verifying promptly is meant part condition precedent of identification of tatooing.Feature is promptly gathered the feature of obtaining at every turn when checking in real time, will be used to compare with foundation forms, thereby judge its fingerprint identity.
Therefore typical fingerprint recognition system need comprise that one is finished image processing and feature extraction, the fingerprint algorithm of identification, the data storage medium of preservation fingerprint characteristic with the fingerprint collecting equipment that should choose directly mutual, a cover.
Fingerprint collecting equipment is used for obtaining the finger print image that should choose as shown in Figure 1, then image is submitted to fingerprint algorithm and is carried out image processing and feature extraction, and fingerprint algorithm can be integrated in the fingerprint equipment, also can be processing procedure independently.
The fingerprint template that obtains can be kept in the storage medium of appointment, in the built-in FLASH of database, IC-card, equipment.
Fingerprint sensor is the core component on the fingerprint collecting device, and the process of fingerprint collecting is that fingerprint sensor is according to the process of different sensing principles with fingerprint imaging.The fingerprint sensor of different model at sensing principle (principle of fingerprint imaging and technology), picture resolution, size sensor, effectively to gather various aspects such as area, image quality all inequality, there is bigger difference between the finger print image that therefore causes different sensors to collect, at aspects such as use cost, availability, permanance quality arranged respectively also in addition.
Can only use the fingerprint product that has assembled a kind of sensor to guarantee the consistance of image in most fingerprint recognition systems, the foundation forms of i.e. assurance registration and the real-time feature of checking are from the fingerprint sensor of same model, and the image that obtains has identical size and resolution.
But in the applied environment of reality, because different use crowd, different temperature environment, different application scenarios are inequality to the requirement of fingerprint product, for example in the more suitable semiconductor fingerprint sensing of the people product of property finger, and optical articles is higher for the relevance grade of wet finger, very thin finger need use the high product of resolution, big strong hand refers to that needs use the big product of collection area, optical articles hardness height, anti-wear performance is better than semiconductor product, and the electric conductivity of semiconductor product brings the live body performance to be better than optical articles.
The zone that environment is good is more lower slightly to the maintenance requirement of fingerprint product, and then there is the higher requirement of ratio in the abominable place of environment to the fingerprint durability of products.
Technical progress also requires system of fingerprints can protect investment can include new fingerprint sensing product in low-cost mode again and is enjoyed the system performance raising.
Fingerprint recognition system that can only integrated a kind of product sensor causes some crowd's inapplicable phenomenon easily, when there is certain defective of using in existing product, has been difficult to carry out product during discovery and has replaced.If deal with problems with conventional thought, must introduce the fingerprint product again, will bring the cost expense of aspects such as software and hardware to strengthen, can not solve the problem that a kind of fingerprint sensor can only adapt to some people simultaneously.And the present invention can join the different sensors product in the fingerprint recognition system, need not change original system, makes the crowd of being suitable for maximization, makes different application, and the fingerprint product maximum possible of continual renovation is integrated.
Summary of the invention
(1) technical matters that will solve
The objective of the invention is to overcome the defective that existing fingerprint recognition system exists, providing a kind of can join the different sensors product in the fingerprint recognition system, need not change other hardware of original system, make the crowd of being suitable for maximization, make the dissimilar sensor maximum possible be integrated in a fingerprint recognition scheme of overlapping in the fingerprint recognition system.
(2) technical scheme
For achieving the above object, the method for the compatible different fingerprint sensor image informations of the present invention comprises the steps:
Gather original finger print image and generate the fingerprint masterplate; Gather finger print image to be verified and generate fingerprint template, utilize fingerprint template and the original finger print masterplate that fingerprint similarity alignment algorithm will this finger to be verified to compare, determine according to the result of comparison whether the two is the image of same finger;
It is characterized in that: should finger print template to be verified and before original finger print masterplate compares, use the image zoom algorithm that resolution, size and the distortion weight of the two images acquired are adjusted the regeneration fingerprint template according to default same specification earlier.
Preferably, the image zoom algorithm of described method is neighbor interpolation, bilinear interpolation value or three convolution methods.
(3) beneficial effect
The technique effect that the present invention produced is, the sensors of various types product can be joined in the fingerprint recognition system, need not change other hardware of original system, make the crowd of being suitable for maximization, the dissimilar sensor maximum possible is integrated in the cover fingerprint recognition system.The present invention is in a fingerprint recognition system, and the finger print data that utilizes the collection of a kind of fingerprint sensor product to obtain can directly apply to another kind of fingerprint sensor product.
Description of drawings
Fig. 1 is existing fingerprint recognition system fingerprint identification method process flow diagram;
Fig. 2 is a fingerprint recognition system fingerprint identification method process flow diagram of the present invention;
Fig. 3 is a bilinearity difference algorithm synoptic diagram of the present invention;
Fig. 4 is the fingerprint recognition system example architecture that sensor exchanges;
Fig. 5 is that the present invention points 1 through the normalization example after 3 kinds of fingerprint sensors collections;
Fig. 6 is that the present invention points 2 through the normalization example after 3 kinds of fingerprint sensors collections;
Fig. 7 is that the present invention points 3 through the normalization example after 3 kinds of fingerprint sensors collections.
Embodiment
Following examples are used to illustrate the present invention, but are not used for limiting the scope of the invention.
Fingerprint recognition system of the present invention provides identical interface between software and hardware for assembling dissimilar fingerprint sensor products, fingerprint recognition system can be used different fingerprint sensor products according to the application demand design, can coexist between each fingerprint sensor product or exist as alternative scheme, during the fingerprint sensor replacement of products, fingerprint is counted the fingerprint characteristic template of sensor conversion according to continuing use, and the operation that does not need to gather the original fingerprint image information repeats to reduce the cost that uses fingerprint recognition system.
Sensor exchanges the technical method that uses as shown in Figure 2, may further comprise the steps:
Product can obtain the finger print image of original size according to different sensor interfaces;
Carry out visual normalized according to the finger print image that fingerprint sensor obtained;
Normalized image is handled, extracted feature.
Fingerprint image normalization is all to transform on the unified DPI fingerprint image for the fingerprint image with different resolution (DPI) and different distortion, because the DPI of different its ranks directions of sensor may be different, deformation coefficient is also different, all needs to consider when the conversion of image normalizing.
When carrying out image transformation, adopted bilinear interpolation method, respectively at line direction and the enterprising row interpolation of column direction, can realize the scale transformation of arbitrary image.
Accompanying drawing 3 is basic principle schematic of bilinear interpolation.
A, B, 4 of C, D are four consecutive point in the original fingerprint image in the accompanying drawing three, promptly
COL(B)＝COI(A)+1
ROW(C)＝ROW(A)+1
The P point is the mapping of the point in the normalizing image in original image (P order coordinate be floating number), then the P gray scale of ordering is by the gray scale decision of 4 of A, B, C, D, according to the difference of each point from P point distance, each point is also different to the influence (or claiming contribution) of the gray scale that P is ordered, recent photo sound is big more more for distance, otherwise influence is more little.Each point is respectively the influence of P point gray scale:
The final gray-scale value that P is ordered is:
G
P＝G
AP+G
BP+G
CP+G
DP
The present invention is described further below in conjunction with the drawings and specific embodiments:
Accompanying drawing 4 is the present invention's system architecture diagrams in the identification of bank cashier fingerprint.In this system, used the fingerprint equipment of following three kinds of different model sensors:
Device A is integrated Digent FS11 model product sensor, it is a kind of optical sensing, and the DPI of horizontal direction is 714, and the DPI of vertical direction is 470, effectively gathers area 400 * 302, sensor is connected on the terminal 1 of fingerprint recognition system;
Equipment B is integrated FingerCard FPC1011 model product sensor, it is a kind of semi-conductor electricity field sensor, and the DPI of horizontal direction is 358, and the DPI of vertical direction is 358, effectively gather area 152 * 200, sensor is connected on the terminal 2 of fingerprint recognition system;
Equipment C is integrated UPEK TCS2CF model product sensor, it is a kind of semicoductor capacitor sensor, and the DPI of horizontal direction is 508, and the DPI of vertical direction is 508, effectively gathers area 208 * 288, sensor is connected on the terminal 3 of fingerprint recognition system.
Effective finger print image original size that device A collects is 300 * 302, and the picture size after the normalization is 280 * 320.
Effective finger print image original size that equipment B collects is 152 * 200, and the dimension of picture after the normalization is 212 * 280.
Effective fingerprint image original size that equipment C collects is 208 * 288, and the dimension of picture behind the normalizing is 204 * 284.
From accompanying drawing 5, accompanying drawing 6, accompanying drawing 7 as can be seen, after the fingerprint image normalized, the image that same finger obtains by three kinds of sensors, all has very high similarity at aspects such as the position of unique point distance, wrinkle ridge curvature, wrinkle ridge width, no matter adopt which kind of algorithm for recognizing fingerprint, the comparison that all can intersect is mutually fully verified.
The teller utilizes the FS11 optical sensor to carry out the log-on operation of fingerprint foundation forms on terminal A, and the finger print data that obtains is kept in the fingerprint server of backstage.
During checking, the teller utilizes the FPC1011 sensor to carry out the collection of real-time feature on terminal B, and the feature of acquisition and being kept at utilizes the registration of FS11 optical sensor to obtain in the fingerprint server foundation forms is compared, and can mate and pass through.
During checking, the teller utilizes the TCS2CF sensor to carry out the collection of real-time feature on terminal C, and the feature of acquisition and being kept at utilizes the registration of FS11 optical sensor to obtain in the fingerprint server foundation forms is compared, and can mate and pass through.
Claims (2)
1, the fingerprint identification method of the different fingerprint sensor image informations of a kind of compatibility, described method comprises the steps:
Gather original finger print image and generate the fingerprint masterplate;
Gather finger print image to be verified and generate fingerprint template, utilize fingerprint similarity alignment algorithm should finger print template to be verified and original finger print masterplate compare, determine according to the result of comparison whether the two is the image of same finger;
It is characterized in that: should finger print template to be verified and before original finger print masterplate compares, use the image zoom algorithm that resolution, size and the distortion weight of the two images acquired are adjusted the regeneration fingerprint template according to default same specification earlier.
2, the fingerprint identification method of compatible according to claim 1 different fingerprint sensor image informations is characterized in that: described image zoom algorithm is neighbor interpolation, bilinear interpolation value or three convolution methods.
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101197665B (en) * | 2007-12-24 | 2011-11-09 | 北京飞天诚信科技有限公司 | Dynamic password generation method and device thereof |
| CN103177240A (en) * | 2013-02-05 | 2013-06-26 | 金硕澳门离岸商业服务有限公司 | Universal fingermark template generating device and universal fingermark template generating method |
| CN104298907A (en) * | 2013-07-15 | 2015-01-21 | 联想(北京)有限公司 | Information processing method and electronic equipment |
| CN105653412A (en) * | 2015-12-31 | 2016-06-08 | 深圳市金立通信设备有限公司 | Fingerprint device compatibility detection method and terminal |
| CN105744083A (en) * | 2016-04-29 | 2016-07-06 | 努比亚技术有限公司 | Mobile terminal fingerprint self-adaption method and device |
| CN106022323A (en) * | 2016-07-26 | 2016-10-12 | 昆山龙腾光电有限公司 | Finger identification system, finger identification method and fingerprint identification device |
| CN106250738A (en) * | 2015-06-04 | 2016-12-21 | 三星电子株式会社 | For performing electronic installation and the method thereof of personal authentication |
| CN106716444A (en) * | 2015-04-23 | 2017-05-24 | 深圳市汇顶科技股份有限公司 | Multifunction fingerprint sensor |
| CN108073874A (en) * | 2016-11-18 | 2018-05-25 | 百帝安（北京）科技有限公司 | Small area fingerprint recognition general-purpose interface function |
| CN108304776A (en) * | 2017-12-27 | 2018-07-20 | 北京智慧眼科技股份有限公司 | Refer to the method, apparatus and storage medium of vein image intercommunication identification |
| CN109840458A (en) * | 2017-11-29 | 2019-06-04 | 杭州海康威视数字技术股份有限公司 | A kind of fingerprint identification method and fingerprint collecting equipment |
| CN110175516A (en) * | 2019-04-17 | 2019-08-27 | 深圳绿米联创科技有限公司 | Biological characteristic model generating method, device, server and storage medium |
| CN110414440A (en) * | 2019-07-30 | 2019-11-05 | 中国工商银行股份有限公司 | A kind of fingerprint collecting recognition methods and device |
| CN112800996A (en) * | 2020-09-09 | 2021-05-14 | 神盾股份有限公司 | Electronic device with fingerprint sensing function and fingerprint comparison method |
| WO2022268023A1 (en) * | 2021-06-22 | 2022-12-29 | 维沃移动通信有限公司 | Fingerprint recognition method and apparatus, and electronic device and readable storage medium |
| US11580786B2 (en) | 2020-12-18 | 2023-02-14 | Egis Technology Inc. | Updating method for configuration parameters of electronic device, device and computer-readable medium |
-
2007
- 2007-07-10 CN CNB200710118614XA patent/CN100498822C/en active Active
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101197665B (en) * | 2007-12-24 | 2011-11-09 | 北京飞天诚信科技有限公司 | Dynamic password generation method and device thereof |
| CN103177240A (en) * | 2013-02-05 | 2013-06-26 | 金硕澳门离岸商业服务有限公司 | Universal fingermark template generating device and universal fingermark template generating method |
| CN103177240B (en) * | 2013-02-05 | 2016-04-27 | 金硕澳门离岸商业服务有限公司 | General-purpose fingerprint template generation device and method |
| CN104298907A (en) * | 2013-07-15 | 2015-01-21 | 联想(北京)有限公司 | Information processing method and electronic equipment |
| CN106716444A (en) * | 2015-04-23 | 2017-05-24 | 深圳市汇顶科技股份有限公司 | Multifunction fingerprint sensor |
| US10776605B2 (en) | 2015-04-23 | 2020-09-15 | Shenzhen GOODIX Technology Co., Ltd. | Multifunction fingerprint sensor |
| US10432602B2 (en) | 2015-06-04 | 2019-10-01 | Samsung Electronics Co., Ltd. | Electronic device for performing personal authentication and method thereof |
| CN106250738A (en) * | 2015-06-04 | 2016-12-21 | 三星电子株式会社 | For performing electronic installation and the method thereof of personal authentication |
| CN105653412A (en) * | 2015-12-31 | 2016-06-08 | 深圳市金立通信设备有限公司 | Fingerprint device compatibility detection method and terminal |
| CN105744083A (en) * | 2016-04-29 | 2016-07-06 | 努比亚技术有限公司 | Mobile terminal fingerprint self-adaption method and device |
| CN106022323A (en) * | 2016-07-26 | 2016-10-12 | 昆山龙腾光电有限公司 | Finger identification system, finger identification method and fingerprint identification device |
| CN106022323B (en) * | 2016-07-26 | 2019-09-10 | 昆山龙腾光电有限公司 | Finger recognition system and finger identification method and fingerprint identification device |
| CN108073874A (en) * | 2016-11-18 | 2018-05-25 | 百帝安（北京）科技有限公司 | Small area fingerprint recognition general-purpose interface function |
| CN109840458A (en) * | 2017-11-29 | 2019-06-04 | 杭州海康威视数字技术股份有限公司 | A kind of fingerprint identification method and fingerprint collecting equipment |
| CN108304776A (en) * | 2017-12-27 | 2018-07-20 | 北京智慧眼科技股份有限公司 | Refer to the method, apparatus and storage medium of vein image intercommunication identification |
| CN110175516A (en) * | 2019-04-17 | 2019-08-27 | 深圳绿米联创科技有限公司 | Biological characteristic model generating method, device, server and storage medium |
| CN110175516B (en) * | 2019-04-17 | 2021-12-07 | 深圳绿米联创科技有限公司 | Biological characteristic model generation method, device, server and storage medium |
| CN110414440A (en) * | 2019-07-30 | 2019-11-05 | 中国工商银行股份有限公司 | A kind of fingerprint collecting recognition methods and device |
| CN110414440B (en) * | 2019-07-30 | 2022-02-25 | 中国工商银行股份有限公司 | Fingerprint acquisition and identification method and device |
| CN112800996A (en) * | 2020-09-09 | 2021-05-14 | 神盾股份有限公司 | Electronic device with fingerprint sensing function and fingerprint comparison method |
| US11580786B2 (en) | 2020-12-18 | 2023-02-14 | Egis Technology Inc. | Updating method for configuration parameters of electronic device, device and computer-readable medium |
| WO2022268023A1 (en) * | 2021-06-22 | 2022-12-29 | 维沃移动通信有限公司 | Fingerprint recognition method and apparatus, and electronic device and readable storage medium |
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