CN101004789B - Method for recognizing image of finger vein - Google Patents
Method for recognizing image of finger vein Download PDFInfo
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- CN101004789B CN101004789B CN200610001324A CN200610001324A CN101004789B CN 101004789 B CN101004789 B CN 101004789B CN 200610001324 A CN200610001324 A CN 200610001324A CN 200610001324 A CN200610001324 A CN 200610001324A CN 101004789 B CN101004789 B CN 101004789B
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Images
Abstract
An identification device of finger vein image consists of light source, image input unit, image storage unit and image comparison unit for carrying out certification by utilizing internal structure offinger.
Description
Technical field
The present invention relates to personal verification's method, relate in particular to a kind of finger venous image recognition methods.
Background technology
Along with the requirement to personal belongings, internal network, passage, Internet and even safety of electrical business is strict day by day, demand for identity identifying technology also becomes more and more urgent, biological identification technology promptly is safety and personal identification method easily, wherein, fingerprint identification technology is present most convenient, reliable, non-infringement and technical relative ripe biological identification technology solution.
Yet also there is defective in fingerprint identification technology itself: for example: the fingerprint characteristic information of some people or some colony does not seldom reach the requirement of filing; In addition, the widespread use of crime fingerprint database in global juridical practice of Automated Fingerprint Identification System makes people keep a sharp lookout to it; Also have, all can on fingerprint capturer, stay user's finger mark when using fingerprint each time, and there is the possibility that is used to duplicate fingerprint in these fingerprint traces.
Summary of the invention
The problem to be solved in the present invention provides a kind of finger venous image recognition methods, to solve the defective that difficulty and fingerprint easily be stolen of filing of fingerprint base in the prior art.
For addressing the above problem, the invention provides a kind of finger venous image recognition methods, comprising:
The vein image that collection produces through the infrared light supply irradiation;
The vein image that collects is carried out recurrence according to area grayscale carrying out image threshold segmentation algorithm cut apart, add up according to certain weighting principle cut apart the target area that obtains at every turn then, obtain the segmentation result image;
Adopt the expansion of morphologic band directivity and the actual state that corrosion recovers blood vessel;
Adopt relatively whether the finger venous image of the more current collection of mode of blood vessel general characteristic parameter and more specific characteristic parameter is identical with the finger venous image of registration in advance step by step.
Also comprise before the described collection vein image: the filtering parasitic light.
Described vein image is gathered by image capture device CCD.
Compared with prior art, the present invention has the following advantages:
The present invention utilizes the finger interior structure to authenticate, and the veinprint of everyone each finger is unique, and can not have the possibility of wearing and tearing as fingerprint, does not rely on the finger surface state, increases other people simultaneously and forges difficulty.
Further, authenticate, under the situation of the shared authenticating device of many people, be easy to be accepted by the user in the noncontact mode.
Further, adopted to make more distinct image treatment technology and select the new algorithm of vein image of vein image, cooperated the high precision image collecting device, can make the authentication precision index misidentification rate and the rate of refusing to recognize all be better than traditional biological feature authentication techniques.
Further, adopt special light source, the influence of shielding surround lighting, by day, night, indoor and outdoors result be highly stable.
Further, adopt high-speed dsp to finish data processing, the processing time is a Millisecond.
Further, inner high-speed data signal process chip and the mass storage of adopting, every authenticating device is a complete and independent disposal system, does not need external computer to handle, and saves user cost, the confidentiality and the security that have more improved total system.
Description of drawings
Fig. 1 is the structural drawing of device for recognizing image of finger vein of the present invention;
Fig. 2 is the circuit structure diagram of device for recognizing image of finger vein of the present invention;
Fig. 3 is the process flow diagram that the present invention realizes finger venous image identification;
Fig. 4 is the process flow diagram that is provided with that the present invention realizes the preceding image data base of finger venous image identification.
Embodiment
Describe the present invention below in conjunction with accompanying drawing.
The structure of device for recognizing image of finger vein of the present invention comprises as shown in Figure 1: light source 10, touch-switch unit 20, finger bracket unit 30, filter unit 40 and image input block 50.Wherein, light source 10 is an infrared light supply, can adopt devices such as infrared diode; Finger bracket unit 30 is used for finger locating, adopt in this example and refer to back of the body location, promptly point bracket unit 30 with referring to that the back of the body is put into, the finger front end is depressed the mode of touch-switch unit 20 and is located finger, since contact mainly be meant the back of the body, and bone is harder, can bear the pressure from bracket, and protection refers to that the blood vessel at tripe position does not influence imaging effect because of pressurized; When touch-switch unit 20 is pointed and is touched, startup light source 10 and image input block 50, light source 10 irradiations see through points 31 vein images that form by 50 collections of image input block; Filter unit 40 is used for the parasitic light that filtering enters image input block 50; Image storage unit 60 is used to store the finger venous image of registration in advance; Image comparing unit 70, whether the finger venous image that is used for more current collection is identical with the finger venous image of registration in advance.
The circuit structure of device for recognizing image of finger vein of the present invention as shown in Figure 2, power pack is respectively light source, treatment circuit plate, interface card and the power supply of image input block.Wherein, comprise image storage unit and image comparing unit in the treatment circuit plate.
Above-mentioned user can aim at finger and place on the gathering sill, presses the touch-switch unit and begins to verify.But, also can need not the touch-switch unit, utilize other mechanism to detect finger and correctly place on the gathering sill.For example, can adopt the variation that utilizes electrostatic capacitance and biosome electric conductivity touch dependent sensor, also can real time monitoring camera image, detect finger by Flame Image Process and place.But, touching under the situation of dependent sensor, it should be noted that to be under the state of verifying preparation and react the user.By utilizing the touch-switch unit, the user can determine to verify the moment of handling beginning clearly, and, before pressing the touch-switch unit, make verification system be in holding state, so have the advantage that reduces power consumption.In addition, the device that carries out some operation with respect to the pushbutton switch that uses prior art, forcibly changing user's sequence of operation not, and append authentication function naturally.Touch-switch unit in this case is not limited to mechanical switch.For example, as if pressure transducer etc. only just produce the device of contact after the user operates wittingly, then can be any switch.
After the touch-switch unit is connected, to be read in the storer with the image of the finger of camera production, the view data of being read in is carried out Flame Image Process, extract the feature of vascular patterns, carry out cross reference, whether consistently observe with certain pattern of having registered, as shown in Figure 3. wherein, described registered certain pattern is meant that legal registrant carries out same processing before checking, after above-mentioned processing, be stored in the storer and the relevant storage data of information this registrant of identification, its gatherer process as shown in Figure 4: enter the function selecting interface after powering on, select to point registration function, the input record number, finger is put in prompting, gathers the cubic graph picture, and whether comparison has unanimity twice, if, then stored record in storer, collection is finished, otherwise continues to gather.
In the storer of registration pattern, except that carrying out the storer of handling, can also utilize the nonvolatile memory that can not lose information because of the break-make of power supply.In addition, also can use recording mediums such as hard disk.If there is consistent pattern, the signal of the content that proper access right is assert or the individual's who is verified identification data are sent to controlling object such as the equipment of required checking and software program; Under the situation that does not have consistent pattern, do not transmit any signal or transmit the signal of the content that is subjected to illegal access as required.
Medium vessels video image of the present invention utilizes regional OTSU (thresholding of gray level image is cut apart) algorithm to carry out cutting apart of image.At the slow-footed shortcoming of traditional algorithm, dwindled the number of times of utilization OTSU algorithm, significantly reduced the scope of traversal gray level, speed improves about 15 times.Behind the image binaryzation, some noise spots can occur, the phenomenon of blood vessel disconnection also can occur,, can recover the actual state of blood vessel at this moment with the expansion and the corrosion of morphologic band directivity.
Wherein, zone OTSU algorithm is OTSU to be cut apart the target area that obtains carry out next time OTSU as new image and cut apart, recurrence is gone down successively, till satisfying certain condition, add up according to certain weighting principle cut apart the target area that obtains at every turn then, obtain the segmentation result image.Experimental result shows, under different cold-scarce scapes, OTSU local recursion partitioning algorithm based on conspicuousness can stably be realized the target segmented extraction, has robustness preferably, because when gathering the finger blood-vessel image, the finger placement location has skew, comprises all around and inclination and bending, so the data field structure will have robustness, satisfy certain tolerance.
The characteristic information that comprises in the blood vessel video image is described with 64 bytes, and wherein preceding four bytes are described blood vessel general characteristic parameter information, and back 60 bytes are described the concrete characteristic parameter information of blood vessel.Suppose to have in the feature database N bar blood vessel characteristic information, blood vessel A is when contrasting with feature database, earlier with general characteristic parameter (be preceding four the bytes) comparison of the general characteristic parameter (being preceding four bytes) that extracts with N bar blood vessel, it is close with it to search M bar (M is far smaller than N) blood vessel, and then compare with concrete characteristic parameter (being back 60 bytes) and this M bar blood vessel feature, the blood vessel that search characteristics information is mated fully, thick earlier contrast that Here it is, thin control methods again.
In addition, the video camera shooting area is made up of background area, darkroom and finger angiosomes two parts, and finger part is owing to shone by infrared lamp, and brightness is bigger, that is to say that the two environmental baseline contrast is big, can realize the effective coverage intercepting according to gray scale transition in view of the above.
Though with specific embodiment the present invention is described, have the knack of this skill person will know clearly can claims define below not breaking away from spirit of the present invention and scope in implement variations and modifications.No matter but it does any variation on shape or structure, the modification that every employing present technique is made all drops within protection scope of the present invention.
Claims (3)
1. a finger venous image recognition methods is characterized in that, comprising:
The vein image that collection produces through the infrared light supply irradiation;
The vein image that collects is carried out recurrence according to area grayscale carrying out image threshold segmentation algorithm cut apart, add up according to certain weighting principle cut apart the target area that obtains at every turn then, obtain the segmentation result image;
Adopt the expansion of morphologic band directivity and the actual state that corrosion recovers blood vessel;
Adopt relatively whether the finger venous image of the more current collection of mode of blood vessel general characteristic parameter and more specific characteristic parameter is identical with the finger venous image of registration in advance step by step.
2. finger venous image recognition methods as claimed in claim 1 is characterized in that, also comprises before the described collection vein image: the filtering parasitic light.
3. finger venous image recognition methods as claimed in claim 1 is characterized in that, described vein image is gathered by image capture device CCD.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200610001324A CN101004789B (en) | 2006-01-17 | 2006-01-17 | Method for recognizing image of finger vein |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200610001324A CN101004789B (en) | 2006-01-17 | 2006-01-17 | Method for recognizing image of finger vein |
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| CN101004789A CN101004789A (en) | 2007-07-25 |
| CN101004789B true CN101004789B (en) | 2010-05-12 |
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| CN200610001324A Expired - Fee Related CN101004789B (en) | 2006-01-17 | 2006-01-17 | Method for recognizing image of finger vein |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101980243A (en) * | 2010-10-15 | 2011-02-23 | 中国人民解放军国防科学技术大学 | Binocular vision-based finger vein three-dimensional identification method and device |
Families Citing this family (26)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101136112B (en) * | 2007-09-07 | 2010-06-02 | 北京兆维电子(集团)有限责任公司 | Gate inhibition system using palmar metacarpal veins recognition technology to substitute IC card |
| JP5045344B2 (en) * | 2007-09-28 | 2012-10-10 | ソニー株式会社 | Registration device, registration method, authentication device, and authentication method |
| JP4548504B2 (en) * | 2008-04-08 | 2010-09-22 | 日本電気株式会社 | Authentication imaging apparatus, authentication imaging method, and authentication imaging program |
| KR101247891B1 (en) * | 2008-04-28 | 2013-03-26 | 고리츠다이가쿠호징 오사카후리츠다이가쿠 | Method for creating image database for object recognition, processing device, and processing program |
| CN101504722B (en) * | 2009-03-20 | 2012-05-30 | 公安部第一研究所 | Multi-mode combined identity authentication system and method |
| CN101539995B (en) * | 2009-04-24 | 2011-05-25 | 清华大学深圳研究生院 | Imaging device based on vein pattern and backside pattern of finger and multimode identity authentication method |
| JP2011215662A (en) * | 2010-03-31 | 2011-10-27 | Hitachi Media Electoronics Co Ltd | Biometric authentication device |
| CN102043961B (en) * | 2010-12-02 | 2013-12-11 | 北京交通大学 | Vein feature extraction method and method for carrying out identity authentication by utilizing double finger veins and finger-shape features |
| JP5811372B2 (en) | 2011-03-25 | 2015-11-11 | 日本電気株式会社 | Authentication apparatus and authentication method |
| CN102184387A (en) * | 2011-05-10 | 2011-09-14 | 陈庆武 | Finger vein authentication system |
| CN102184528B (en) * | 2011-05-12 | 2012-09-26 | 中国人民解放军国防科学技术大学 | Low-quality finger vein image enhancement method |
| CN102214297B (en) * | 2011-06-14 | 2012-11-28 | 中国人民解放军国防科学技术大学 | Vein image quality detecting method for characteristic extraction |
| CN102542263A (en) * | 2012-02-06 | 2012-07-04 | 北京鑫光智信软件技术有限公司 | Multi-mode identity authentication method and device based on biological characteristics of fingers |
| CN103488981A (en) * | 2013-10-16 | 2014-01-01 | 无锡优创生物科技有限公司 | Finger blood vessel distribution based identity identification system and method |
| CN103679153A (en) * | 2013-12-16 | 2014-03-26 | 中国民航大学 | Finger multi-modal biometric characteristic polarization imaging system |
| CN104097611A (en) * | 2014-07-30 | 2014-10-15 | 中山艺展装饰工程有限公司 | Automobile anti-theft system based on human face identification technology multi-identity authentication |
| CN107004113B (en) * | 2014-12-01 | 2021-01-29 | 熵基科技股份有限公司 | System and method for obtaining multi-modal biometric information |
| CN105787414A (en) * | 2014-12-16 | 2016-07-20 | 天津市高力电气科技有限公司 | Finger vein recognition terminal of banking system and image processing method of finger vein recognition terminal |
| CN105989337A (en) * | 2015-02-13 | 2016-10-05 | 科尔森有限公司 | Finger-vein-based authentication system |
| CN105959285A (en) * | 2016-05-10 | 2016-09-21 | 福建汇川物联网技术科技股份有限公司 | Building heavy machine operation identity authentication and supervision terminal based on finger vein identification |
| CN106529468B (en) * | 2016-11-07 | 2019-03-05 | 重庆工商大学 | A kind of finger vein identification method and system based on convolutional neural networks |
| KR20200035954A (en) * | 2017-08-01 | 2020-04-06 | 난징 이스트하우스 인포메이션 테크놀로지 컴퍼니 리미티드 | Finger vein image acquisition device |
| CN108564080B (en) * | 2018-04-18 | 2024-02-02 | 青岛海泰新光科技股份有限公司 | Biological recognition feature detection device and method |
| CN109145792A (en) * | 2018-08-09 | 2019-01-04 | 钧安科技（深圳）有限公司 | Two fingers setting refers to vein identification device and method |
| CN110263769A (en) * | 2019-07-19 | 2019-09-20 | 广东工业大学 | A kind of identity information acquisition method and equipment |
| CN114463888A (en) * | 2021-12-31 | 2022-05-10 | 深圳前海蒂脉时代科技控股有限公司 | Living finger vein cloud vending system and vending method thereof |
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1302044A (en) * | 1999-12-29 | 2001-07-04 | 广东粤安集团有限公司 | Biological identifier core module |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101980243A (en) * | 2010-10-15 | 2011-02-23 | 中国人民解放军国防科学技术大学 | Binocular vision-based finger vein three-dimensional identification method and device |
| CN101980243B (en) * | 2010-10-15 | 2012-11-07 | 中国人民解放军国防科学技术大学 | Binocular vision-based finger vein three-dimensional identification system |
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| CN101004789A (en) | 2007-07-25 |
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