CN100392669C - Method and device for vivi-detection in iris recognition - Google Patents

Method and device for vivi-detection in iris recognition Download PDF

Info

Publication number
CN100392669C
CN100392669C CNB200610053495XA CN200610053495A CN100392669C CN 100392669 C CN100392669 C CN 100392669C CN B200610053495X A CNB200610053495X A CN B200610053495XA CN 200610053495 A CN200610053495 A CN 200610053495A CN 100392669 C CN100392669 C CN 100392669C
Authority
CN
China
Prior art keywords
iris
light source
module
snoot
infrared
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.)
Expired - Fee Related
Application number
CNB200610053495XA
Other languages
Chinese (zh)
Other versions
CN1924892A (en
Inventor
叶学义
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Dianzi University
Hangzhou Electronic Science and Technology University
Original Assignee
Hangzhou Electronic Science and Technology University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hangzhou Electronic Science and Technology University filed Critical Hangzhou Electronic Science and Technology University
Priority to CNB200610053495XA priority Critical patent/CN100392669C/en
Publication of CN1924892A publication Critical patent/CN1924892A/en
Application granted granted Critical
Publication of CN100392669C publication Critical patent/CN100392669C/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

This invention relates to one pupillary identification living test method and its relative device, which comprises the following steps: using pupillary and human eye physiological and physical property to control infrared light source according to random sequence and to store the relative digital marks; collecting the image sequence under light source pupillary and eye ball and extracting pupil fringe contract diffraction board formed image characteristics and to realize the living pupillary test according to the characteristics digital mark relationship.

Description

Biopsy method in the iris recognition and device
Technical field:
The invention belongs to the technical field of living things feature recognition and information security, biopsy method and corresponding device thereof in particularly a kind of iris recognition.
Background technology:
Identity recognizing technology based on iris is one of biometrics identification technology that rose gradually in recent years, come into operation within the specific limits, for example: the immigration management of the United Arab Emirates and evictee's tracker (The UAE Iris Expellees Tracking and Border ControlSystem, The Proceeding of Biometrics consortium conference 2005, Hyatt Regency Crystal City, Arlington, VA, USA) or the like, the accuracy and the unfailing performance that show iris recognition are very outstanding, but a necessary prerequisite is: the biological attribute data of iris can only be owned by legal identity user.It is the key issue of present iris authentication system self-security that living body iris detects, and also is one of the direction of the primary study of iris recognition technology.Attack based on the security of the identification system of iris is mainly concentrated on the iris data aspect, for example: utilize the iris deception recognition system of forging, thereby obtain authority of legal identity or the like.Because what iris recognition was handled is view data, so the iris that utilizes photo, pad pasting or the like means to forge is usually cheated the iris capturing device.Produced various method for anti-counterfeit thus, for example: judging whether be the iris of forging according to the composition of various frequency contents in the image of gathering, is exactly present main research direction and method; But if use different materials to come false iris images, also can change the frequency content of image, perhaps utilize certain material to come iris image texture that is virtually reality like reality, all may avoid the purpose that this detection method reaches deception.
Summary of the invention:
Purpose of the present invention is exactly at the deficiencies in the prior art, a kind of biopsy method and device of iris are proposed, being conceived to iris is the organism of a work, utilize the physical characteristics of eyeball optics system and the physiological property of iris uniqueness, detect the eyeball whether iris of being gathered comes from live body, strengthen the anti-pseudo-performance of iris authentication system and the security performance of self.
Biopsy method concrete steps among the present invention in the iris recognition are: utilize the physiology and the physical characteristics of iris and people's eyeball, produce control signal according to random series and control near-infrared light source, and store the figure notation of this random series correspondence; Be captured in iris and the aitiogenic image sequence of eyeball under this light source excitation, and extract the feature of pupil edge convergent-divergent and the feature of scattering light-passing board imaging; Realize whether being the detection of living body iris according to the corresponding relation of this feature and figure notation.
The device of realizing this method comprises intelligent data collecting unit and live body detecting unit, and signal connects between intelligent data collecting unit and the live body detecting unit.Wherein intelligent data collecting unit comprises image capture module, near infrared initiatively light source module and intelligent control module; The live body detecting unit is an embedded computer.
Image capture module comprises camera lens, camera and image pick-up card.The output of camera is by the video input interface of video signal cable incoming image capture card, and camera lens is connected by adapter ring with camera.Image pick-up card adopts existing product, for example CG400.
Near infrared initiatively light source module comprises near-infrared luminous pipe, direct supply, control circuit board, snoot and scattering light-passing board.Two pins of near-infrared luminous pipe are connected with the direct supply two ends, and near-infrared luminous pipe is fixed on the control circuit board, and control circuit board is fixed in wealthy mouthful of end of snoot; The scattering light-passing board is fixed in snoot slot one end.Image capture module is fixedly installed in the snoot along the central axis of snoot.
Described snoot is an infundibulate, the inside surface polishing, and described scattering light-passing board is a transparent material, the rotation frosted direction of its surfaces externally and internally is opposite.Intelligent control module is a microprocessor, can produce control signal according to random series, operate the conducting of near-infrared luminous pipe and end by control circuit board, and import the live body detecting unit together with the figure notation of the random series of real-time control signal correspondence and in the realtime graphic sequence that this control signal hypograph acquisition module collects.This microprocessor adopts existing product, for example PC104.
The embedded computer of live body detecting unit detects the feature of scattering light-passing board imaging in the image sequence that is collected, and the feature of pupil edge convergent-divergent; According to the feature of extracting, contrast the figure notation of real-time control signal more then, the feature of utilization storage in advance and the mapping table of control signal are compared and are judged, finish the living body iris measuring ability.
The present invention is a kind of unique physiology of living body iris and eyeball and method and apparatus that physical characteristics realizes detecting the iris live body of utilizing, compared with prior art, on overall plan, abandoned the whether thinking that detects of the frequecy characteristic of the directly related iris texture of live body of dependence and iris, directly utilize the iris of live body and the physiology of eyeball and this essential characteristic of reaction that the physics function can produce under the excitation of light to realize detecting, improved the reliability that live body detects.
Because the present invention adopts the method that produces the control signal of near-infrared light source according to random series at intelligent data collecting unit, make that control signal is difficult to tracked and duplicates in gathering in real time, strengthened the correctness and the security that detect.
Because the present invention extracts the feature of scattering light-passing board imaging in the image sequence that collects and the feature of pupil edge convergent-divergent simultaneously in the employing of live body detecting unit, strengthened the robustness that detects.
Description of drawings:
Fig. 1 is the biopsy method in the iris recognition and the principle schematic of device;
Fig. 2 is the structural representation of intelligent data collecting unit;
Fig. 3 is the electric principle schematic of control circuit board.
Embodiment:
The present invention is further described below in conjunction with drawings and Examples.
Fig. 1 is the biopsy method in the iris recognition of the present invention and the structural representation of device: biopsy method in the present embodiment iris recognition and device can be divided into two parts: the dotted line left side is the live body detecting unit on intelligent data collecting unit and dotted line right side among the figure.In intelligent data collecting unit, intelligent control module produces the initiatively control signal of light source module of near infrared according to random series, under the effect of this control signal, near infrared active light source module provides the near infrared imaging light source of cycle variation, image capture module is gathered the image of iris in each cycle that light source changes, then will such set of diagrams picture and the figure notation of the control signal correspondence of intelligent control module generation import the live body detecting unit together; The characteristic extracting module of live body detecting unit is carried out Iris Location to image earlier, extract the feature of scattering light-passing board imaging in the image and the feature that pupil boundary changes again, the comparison judge module realizes judging detection according to the formation corresponding relation of the figure notation of feature of being extracted and control signal with reference to the correct relation table of having stored.
Fig. 2 has provided the agent structure synoptic diagram of intelligent data collecting unit in biopsy method in the iris recognition and the device: link to each other with adapter ring 3 between video automatic diaphragm lens 1 and the highly sensitive camera 2, video output terminal 7 links to each other with image pick-up card by video line; Scattering light-passing board 4 is an annular, embeds the end of snoot 5 near the video automatic diaphragm lens, and the front end driving fit of video automatic diaphragm lens 1 embeds the endoporus of scattering light-passing board 4, and is concordant with the anchor ring of scattering light-passing board 4; Control circuit board is fixed on the end of snoot 5 away from the video automatic diaphragm lens with screw, and middle perforate allows the rear end driving fit of highly sensitive camera 2 pass; Near-infrared luminous pipe 6 is welded on the place of close snoot 5 inwalls on the control circuit board 8, evenly distributes along snoot 5 inwalls, and the light that makes near-infrared luminous pipe 6 as much as possible send sees through scattering light-passing board 4 through snoot reflection back.
Fig. 3 has provided the electric principle schematic of control circuit board in biopsy method in the iris recognition and the device: after each near-infrared luminous pipe 6 and protective resistance 12 series connection, be connected direct supply 10 two ends; The break-make of time-delay/guard relay 9 control entire circuit, the control signal that the trigger end 11 of time-delay/guard relay 9 is accepted according to the random series generation.
Table 1 has provided the feature of scattering light-passing board imaging in the image that the characteristic extracting module of biopsy method in the present embodiment iris recognition and device institute reference extracts and the feature that pupil boundary changes and the correct corresponding relation of figure notation of control signal, " ★ " is illustrated under the condition of random series of control signal as shown in Table, the feature that the feature of scattering light-passing board imaging and pupil boundary change in the image that characteristic extracting module is extracted only forms corresponding relation in this position, if and only if when all " ★ " occur in the position shown in the table, and being illustrated in the detected iris of this time is live body.
Figure C20061005349500061
Table 1
During installation, connect video automatic diaphragm lens 1 and highly sensitive camera 2 with adapter ring 3 earlier, connect the video input terminal 7 of highly sensitive camera 2 and the video inputs of image pick-up card with vision cable then; Control signal wire with intelligent control module c is connected to the initiatively control end of light source module b of near infrared again, and the output of direct supply is connected to the initiatively power end of light source module b of near infrared, finishes the installation of intelligent data collecting unit; Installation procedure soft according to the common application computing machine then, hardware is installed the live body detecting unit.
The use operating process of this device is as follows:
The user is positioned at camera lens the place ahead of intelligent data collecting unit, makes image capture module a can collect user's iris image, finishes prompt tone up to hearing to gather; During this period of time, intelligent control module has produced 5 control signals according to random series, near infrared active light source module is controlled near-infrared luminous pipe 6 and is finished 5 conductings or off period under the effect of these control signals, each cycle kept 0.5 second, image capture module is gathered a width of cloth iris image in each cycle, the figure notation of the control signal that these images and its corresponding intelligent control module are produced is imported the live body detecting unit together then; The characteristic extracting module of live body detecting unit positions processing respectively to each width of cloth image, extract the feature of scattering light-passing board 4 imagings in the image and the boundary characteristic of pupil, compare judge module then according to the feature of characteristic extracting module gained and the figure notation of its corresponding control signal, compare with correct mapping table again, finish the function that the iris live body detects, and the output testing result.
In the present embodiment, image capture module adopts video automatic diaphragm lens, highly sensitive CCD camera and high speed image acquisition board, satisfies and regulates automatically under aperture and the low light conditions, the requirement of high speed acquisition image; Scattering light-passing board 4 in the near infrared active light source module is an annular, selects for use acrylic board to make, 3 millimeters of thickness, and the rotation frosted direction of surfaces externally and internally is opposite, to guarantee dispersion effect; Snoot 5 adopts infundibulate, and the inside surface polishing is to strengthen the reflection of light, and less near the port footpath of camera lens, the bore of the other end is bigger; The microprocessor of intelligent control module produces control signal according to random series, is transferred to the initiatively control end of light source module of near infrared by address wire, through the time-delay/guard relay on the control circuit board 89 switch near-infrared luminous pipe 6 conducting and The retention time of time-delay/guard relay 9 is 0.5 second, and microprocessor is controlled visual acquisition module and gathered a secondary bow film image in the second half section of each retention time simultaneously, and this image and corresponding control signal figure notation are transferred to the live body detecting unit together; Characteristic extracting module is extracted the feature of scattering light-passing board 4 imagings in the image and the feature of pupil boundary after image is positioned processing, just whether have the running parameter of the speck and the pupil radius of annular in pupil; The comparison judge module is according to the corresponding relation of the figure notation of these the two kinds of features that obtain in real time and control signal, the table of comparisons 1, and what be in " ★ " mark position then is judged as living body iris, and remaining is exactly the non-living body iris.

Claims (2)

1. the biopsy method in the iris recognition, it is characterized in that this method may further comprise the steps: physiology and the physical characteristics of utilizing iris and people's eyeball, produce control signal according to random series and control the conducting of near-infrared light source or end, and store the figure notation of this random series correspondence; The light that near-infrared light source sends sees through scattering light-passing board excitation iris and eyeball produces reaction, be captured in iris and the aitiogenic image sequence of eyeball under this near infrared light source forcing simultaneously, and extract the feature of pupil edge convergent-divergent and the feature of pupil inscattering light-passing board imaging; Realize whether being the detection of living body iris according to the feature of pupil edge convergent-divergent, the feature of pupil inscattering light-passing board imaging and the corresponding relation of figure notation.
2. adopt the employed device of claim 1 method, it is characterized in that this device comprises intelligent data collecting unit and live body detecting unit, signal connects between intelligent data collecting unit and the live body detecting unit; Wherein intelligent data collecting unit comprises image capture module, near infrared initiatively light source module and intelligent control module; The live body detecting unit is an embedded computer; Intelligent control module is a microprocessor, can produce control signal according to random series, conducting by control circuit board control near-infrared light source and ending, and import the live body detecting unit together with the figure notation of the random series of real-time control signal correspondence and in the realtime graphic sequence that this control signal hypograph acquisition module collects; Image capture module is gathered the image of iris in each cycle that light source changes, then will such set of diagrams picture and the figure notation of the control signal correspondence of intelligent control module generation import the live body detecting unit together;
Image capture module comprises camera lens, camera and image pick-up card; The output of camera is by the video input interface of video signal cable incoming image capture card, and camera lens is connected by adapter ring with camera;
Near infrared initiatively light source module comprises near-infrared luminous pipe, direct supply, control circuit board, snoot and scattering light-passing board; Two pins of near-infrared luminous pipe are connected with the direct supply two ends, and near-infrared luminous pipe is fixed on the control circuit board, and control circuit board is fixed in wealthy mouthful of end of snoot; The scattering light-passing board is fixed in snoot slot one end; Image capture module is fixedly installed in the snoot along the central axis of snoot;
Described snoot is an infundibulate, the inside surface polishing, and described scattering light-passing board is a transparent material, the rotation frosted direction of its surfaces externally and internally is opposite.
CNB200610053495XA 2006-09-21 2006-09-21 Method and device for vivi-detection in iris recognition Expired - Fee Related CN100392669C (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CNB200610053495XA CN100392669C (en) 2006-09-21 2006-09-21 Method and device for vivi-detection in iris recognition

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CNB200610053495XA CN100392669C (en) 2006-09-21 2006-09-21 Method and device for vivi-detection in iris recognition

Publications (2)

Publication Number Publication Date
CN1924892A CN1924892A (en) 2007-03-07
CN100392669C true CN100392669C (en) 2008-06-04

Family

ID=37817521

Family Applications (1)

Application Number Title Priority Date Filing Date
CNB200610053495XA Expired - Fee Related CN100392669C (en) 2006-09-21 2006-09-21 Method and device for vivi-detection in iris recognition

Country Status (1)

Country Link
CN (1) CN100392669C (en)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101833646B (en) * 2009-03-11 2012-05-02 北京中科虹霸科技有限公司 In vivo iris detection method
GB201000973D0 (en) * 2010-01-21 2010-03-10 Glynn Chris Non-evasive spectrophotometer and related method
CN104252622A (en) * 2014-10-15 2014-12-31 倪蔚民 Mobile terminal front-mounting and iris identification integration photoelectric imaging system and method
CN105550625B (en) * 2015-06-30 2018-12-25 宇龙计算机通信科技(深圳)有限公司 A kind of living body iris detection method and terminal
CN105930761A (en) * 2015-11-30 2016-09-07 中国银联股份有限公司 In-vivo detection method, apparatus and system based on eyeball tracking
CN105447483B (en) * 2015-12-31 2019-03-22 徐州旷视数据科技有限公司 Biopsy method and device
CN110705507B (en) 2016-06-30 2022-07-08 北京七鑫易维信息技术有限公司 Identity recognition method and device
CN106778469A (en) * 2016-10-25 2017-05-31 山西天地科技有限公司 A kind of detection method of living body iris
CN107368791A (en) * 2017-06-29 2017-11-21 广东欧珀移动通信有限公司 Living iris detection method and Related product
CN108647650B (en) * 2018-05-14 2021-07-09 北京大学 Human face in-vivo detection method and system based on corneal reflection and optical coding

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2508306Y (en) * 2001-12-18 2002-08-28 中国科学院自动化研究所 Vital iris picture collecting device
WO2004042646A1 (en) * 2002-11-05 2004-05-21 Joh. Enschede B.V. Iris detection
CN1584917A (en) * 2004-06-11 2005-02-23 清华大学 Living body iris patterns collecting method and collector
CN1623506A (en) * 2003-12-07 2005-06-08 倪蔚民 Bioassay system based on iris texture analysis

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2508306Y (en) * 2001-12-18 2002-08-28 中国科学院自动化研究所 Vital iris picture collecting device
WO2004042646A1 (en) * 2002-11-05 2004-05-21 Joh. Enschede B.V. Iris detection
CN1623506A (en) * 2003-12-07 2005-06-08 倪蔚民 Bioassay system based on iris texture analysis
CN1584917A (en) * 2004-06-11 2005-02-23 清华大学 Living body iris patterns collecting method and collector

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
活体虹膜识别技术的开发与分析. 黄晓宇.湖南工程学院学报,第14卷第3期. 2004
活体虹膜识别技术的开发与分析. 黄晓宇.湖南工程学院学报,第14卷第3期. 2004 *

Also Published As

Publication number Publication date
CN1924892A (en) 2007-03-07

Similar Documents

Publication Publication Date Title
CN100392669C (en) Method and device for vivi-detection in iris recognition
CN106372601B (en) Living body detection method and device based on infrared visible binocular images
CN101964056B (en) Bimodal face authentication method with living body detection function and system
CN1174337C (en) Apparatus and method for identifying gazing direction of human eyes and its use
CN102622588A (en) Dual-certification face anti-counterfeit method and device
CN101499129B (en) Distant range iris recognition system and method
CN104598870A (en) Living fingerprint detection method based on intelligent mobile information equipment
CN101196987B (en) On-line palm print, palm vein image personal identification method and its special capturing instrument
KR101596298B1 (en) Contactless fingerprint image acquistion method using smartphone
US20040037450A1 (en) Method, apparatus and system for using computer vision to identify facial characteristics
CN105740781B (en) Three-dimensional human face living body detection method and device
CN105930709A (en) Method and apparatus for applying human face identification technology to witness testimony consistency check
CN102262727A (en) Method for monitoring face image quality at client acquisition terminal in real time
TW201405445A (en) True face recognition system and method based on dual camera
CN101464945A (en) Identification characteristic identification method based on finger back arthrosis veins
WO2020079741A1 (en) Iris authentication device, iris authentication method, and recording medium
CN104615993B (en) The certification device and method that a kind of finger vena identification combines with face hand vein recognition
CN107909063B (en) Biological identification video playback attack detection method based on gray level change
CN107169403A (en) Face-image processing unit
CN104751156A (en) Dimmable finger vein image acquiring system
Xiao et al. Fusion of iris and periocular biometrics for cross-sensor identification
WO2015078182A1 (en) Anti-counterfeiting for determination of authenticity
CN200976149Y (en) Living body detector for iris recognition
CN108009532A (en) Personal identification method and terminal based on 3D imagings
CN108009534A (en) Biopsy method based on pupil gray scale

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C17 Cessation of patent right
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20080604

Termination date: 20100921