CN101295357A - Anti-fake eye iris capturing and recognition device - Google Patents
Anti-fake eye iris capturing and recognition device Download PDFInfo
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- CN101295357A CN101295357A CNA2008101130204A CN200810113020A CN101295357A CN 101295357 A CN101295357 A CN 101295357A CN A2008101130204 A CNA2008101130204 A CN A2008101130204A CN 200810113020 A CN200810113020 A CN 200810113020A CN 101295357 A CN101295357 A CN 101295357A
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Abstract
The invention relates to an anti-counterfeiting iris collection and recognition device, which comprises two parts of an image collection device and a computer-based software recognition system; the image collection device comprises a box body which has a transparent front surface, a rotatable slide rail is arranged in the box body, two combinations of optical sensors/lenses are arranged on the slide rail in a sliding manner, and a light source is fixedly arranged at the position of the back wall in the box body; a recognition system comprises a computer-based iris stereo image imaging unit, an iris motion sequence processing unit, an iris image anti-counterfeiting unit, an iris recognition decision making unit, a human-computer interface device and a software interface unit for other recognition devices. The anti-counterfeiting iris collection and recognition device increases stereo image imaging function, dynamic and static anti-counterfeiting function and other auxiliary recognition systems, thus increasing the safety protection capacity.
Description
Technical field
The present invention relates to a kind of biological eye iris identity recognition device, particularly about a kind of anti-fake eye iris capturing and recognition device.
Background technology
Different human eye irises are different, and same individual's right and left eyes iris is also different, therefore, in the science and technology in modern times, begin to use the means of furious film as identification.But some people utilizes a forgery eye iris to cheat and crime at present, and possible iris deception mode has: artificial eye iris picture, synthetic eye, colorful contact lens, force users are used nature eye etc.In case after using forgery eye iris, the true identity of this biosome (particularly people) just is difficult to obtain effective recognition.
Eye iris capturing and recognition device is exactly that the eye iris feature of individuality is gathered registration, preserves as archives, when running into need distinguish that this individuality is true or false the time, collection in worksite information and archives is compared, and just can identify.Therefore, eye iris capturing and recognition device generally will have antiforge function.Eye iris capturing and recognition device generally is divided into to be gathered and identification two parts.Collecting part mainly contains light source, imageing sensor, image transmission interface three parts, after sensor obtains iris image by light illumination, change light signal into electric signal, be transferred to background computer, finish the collecting work of iris image by the image transmission interface; Identification division also has embedded identification equipment to handle in real time with high-speed dsp generally by the Computer Processing on backstage, and then employing software algorithm realization recognition function.Though each Algorithm of Iris Recognition specific implementation difference is substantially extracted, is reached identifying purpose by certain matching criterior and iris feature storehouse this flow process of comparing according to normalization iris image, iris feature.The false proof measure of the eye iris capturing and recognition device of prior art mainly is the single digital image that will collect, by methods analyst detected image spectral characteristics such as FFT conversion, wavelet transformations, or differentiate false proof by statistical picture special area characteristic method.But there is following problem in the method for anti-counterfeit of the existing pseudo-technology for making of antagonism: 1, identification can only depend on single two-dimensional static eye iris image, can not investigate the continuous motion image of life entity eye iris; 2, to the method for anti-counterfeit of all kinds of transform analysis iris two-dimensional static image spectrum characteristics, the criminal can attack this method by adjusting false iris photo focus; 3, for adopting the method for statistical study two-dimensional static picture special area characteristic, still be in the stage that experience is judged, lack regular theoretical foundation, can not prove all has universality to all kinds of crowds, and misclassification rate is higher; 4, coerced, forced the situation of using the nature eye for the user, can't effectively be discerned and judge; 5, these methods do not have the mode that consideration combines with other bio-identification or abiotic recognition methods.
Summary of the invention
At the problems referred to above, the objective of the invention is to propose a kind of anti-fake eye iris capturing and recognition device that can effectively prevent to attack with fraud.
For achieving the above object, the present invention takes following technical scheme: a kind of anti-fake eye iris capturing and recognition device is characterized in that: it comprises an image collecting device and computer based software recognition system two parts;
Described image collecting device comprises a casing, described casing is the optical protection transparent form in the face of the one side of eye iris, each fixing bearing seat on box bilateral wall, between described diaxon bearing, rotate and wear a slide rail, sliding on described slide rail is provided with two optical sensors/camera lens combination, and the rear wall stationkeeping is provided with a light source in casing;
Described recognition system comprises a computing machine, described computer cabinet is provided with a plurality of data-interfaces, in described computer cabinet, be provided with iris stereopsis image-generating unit, described iris stereopsis image-generating unit is electrically connected to iris motion sequence processing unit, described iris motion sequence processing unit is electrically connected to the anti-dummy unit of iris image, the anti-dummy unit of described iris image is electrically connected to the iris recognition decision package, and described iris recognition decision package is electrically connected to human interface devices; Other has other recognition device software interface unit, and an end is electrically connected to described iris recognition decision package, and the other end outwards connects other recognition device by data line and described data-interface; The false proof unit of described iris image includes static coerce-proof detecting unit and dynamic coerce-proof detecting unit;
Described two optical sensors/camera lens combination is connected to described iris stereopsis image-generating unit by data line and described data-interface.
Described slide rail is an arc, is provided with the slide rail end axle that connects described bearing seat at the two ends of described slide rail.
The rotation of described slide rail in described bearing seat realizes that by a driven unit described driven unit comprises a motor, and described motor output end connects a main drive gear, described main drive gear be connected with a joggle one fixedly be located on the described slide rail end axle from gear.
The slip that described two optical sensor/lens group are combined on the described slide rail realizes by a slide assemblies respectively, described slide assemblies comprises a pedestal, the centre of pedestal has a groove, in groove, erect two anti-drop blocks, two anti-drop blocks are slidedly arranged in the bottom chute of described slide rail, the two ends of pedestal are fixed another motor and described optical sensor/camera lens combination respectively with one heart, the fastening pulley of the output shaft of described another motor, and pulley is slidedly arranged on the described slide rail.
Described two optical sensors/camera lens combination is slided in the half side zone of described slide rail respectively.
Described other recognition device is one of Fingerprint Identification Unit, Gait Recognition device, face recognizer or with the combination of upper type.
The present invention is owing to take above technical scheme, it has the following advantages: 1, image collecting device of the present invention is owing to be symmetrical arranged two cover optical sensors and the camera lens combination, the three-dimensional near-infrared image information that provides can realize the peripheral profile of iris, the inner shallow three-dimensional imaging of iris for recognition system, effectively discerns the deception of false iris picture, synthetic eye, colorful contact lens.2, two optical sensors of the present invention and camera lens combination can be moved on the slide rail of image collecting device, and the motion image of dynamically recording iris forms continuous dynamic image sequence, have strengthened the ability of opposing still image deception.3, the slide rail of image collecting device of the present invention can luffing, adjusts the optical angle of the combination of optical sensor and camera lens and eye iris, makes things convenient for image acquisition.4, recognition system is provided with static state or dynamic coerce-proof function, when static coerce-proof function is opened, can discern by default certain eye of only reporting to the police; When dynamically the coerce-proof function was opened, the frequency characteristic that can block iris by eyelid was sent system and is coerced alarm.5, recognition system also is provided with integrated interface and in house software interface unit, therefore can connect other biological or abiotic recognition device in parallel with image collecting device of the present invention or that connect and use, thereby strengthen the security protection ability.
Description of drawings
Fig. 1 is an anti-fake eye iris capturing and recognition device software and hardware system synoptic diagram of the present invention
Fig. 2 is an image collecting device schematic top plan view of the present invention
Fig. 3 is the assembly synoptic diagram that driving sensor in the image collecting device/the camera lens combination is slided along slide rail
Fig. 4 drives the assembly synoptic diagram that slide rail rotates in the image collecting device
Fig. 5 is the three-dimensional imaging coordinate synoptic diagram in the iris stereopsis image-generating unit
Embodiment
Below in conjunction with drawings and Examples the present invention is described in detail.
As shown in Figure 1, the present invention includes iris stereo-motion image collecting device 1 and computer based control recognition system 2.Be connected by data-interface 21 between image collecting device 1 and the recognition system 2.The module of software and hardware of built-in computer includes iris stereopsis image-generating unit 22, iris motion sequence processing unit 23, the anti-dummy unit 24 of iris image, iris recognition decision package 25, other recognition device software interface unit 26 etc.Recognition system 2 can also link to each other with other biology or abiotic recognition device 3 by other data-interface 27.The recognition result of recognition system 2 is shown on the man-machine interface 28.
As Fig. 2, shown in Figure 3, image collecting device 1 comprises that one can conveniently place or fixing casing 11, casing 11 is an optical protection transparent form 12 in the face of the one side of eyes, and each fixedly connected bearing seat 13 on casing 11 two sides wears the two end axles 141 of arc-shaped slide rail 14 in diaxon bearing 13.The cross section of the two end axles 141 of slide rail is rounded, and the cross section of slide rail 14 is " mountain " shape of handstand.On slide rail 14, slip is provided with two optical sensors/15, two optical sensors of camera lens combination/camera lens combination 15 separately can be in the half side district motion of slide rail 14, with a record iris continuous stereo motion image.When two optical sensors/camera lens combination 15 is a symcenter with the casing axis, locking phase to or when deviating from motion synchronously, the image effect of record iris is best.Be provided with a light source 16 at casing 11 rear wall internal fixation.
As Fig. 2, shown in Figure 4, the rotation of slide rail 14 in diaxon bearing 13 can realize by two driven units 17.Each driven unit 17 comprises a motor 171, motor 171 output shafts drive a taper main drive gear 172, main drive gear 172 drives a taper again from gear 173, is connected from gear 173 center fixation on the end axle 141 of slide rail 14, and end axle 141 rotational support are in bearing seat 13.
As Fig. 2, shown in Figure 3, two optical sensors/camera lens combination 15 can realize by two slide assemblies 18 with the slip of slide rail 14.Each slide assemblies 18 comprises a pedestal 181, the centre of pedestal 181 has a groove, in groove, be provided with two anti-drop blocks 182, two anti-drop blocks 182 are flush-mounted in the bottom chute of slide rail 14, a fixedly connected motor 183 and optical sensor/camera lens combination 15 with one heart on the pedestal 181 of slide rail 14 both sides, the fixedly connected pulley 184 of the output shaft of motor 183, pulley 184 two ends are provided with retaining 185, and 184 on pulley is on slide rail 14.
When optical sensor/camera lens combination 15 and eye iris optical angle not at once, just start the motor 171 in the driven unit 17, by main drive gear 172 with drive slide rails 14 from gear 173 and rotate.The rotation of slide rail 14 will drive pedestal 181 and luffing takes place in optical sensor/camera lens combination 15.Simultaneously, start the motor 183 in the slide assemblies 18, will make motor 183 drive pulley 184 and on slide rail 14, rotate rolling, thereby produce displacement with respect to slide rail 14, the displacement of pulley 184 oppositely drives motor 183, pedestal 181 and optical sensor/camera lens combination 15 and produces and be parallel to the displacement of slide rail 14 bearing of trends, thereby makes optical sensor/camera lens combination 15 can regulate the horizontal focal length of stereoscopic three-dimensional imaging.
As shown in Figure 1, when utilizing the present invention to carry out iris capturing and identification, at first gather iris image by the optical sensor in the image collecting device 1/camera lens combination 15, send view data to iris stereopsis image-generating unit 22 by data line and data-interface 21 by optical sensor/camera lens combination 15 then, iris stereopsis image-generating unit 22 is responsible for two synchronous bidimensional image sequence datas of the optical sensor in optical sensor/camera lens combination 15 are transformed into a 3 D stereoscopic image sequence data.Transform method is:
1, as shown in Figure 5, utilize " parallax three-dimensional imaging method " initialization system coordinate system, mid point with two optical sensor lines is the system coordinates initial point, two optical sensor lines are X-axis, vertical X-direction is a Y-axis on two optical sensor planes, and the mid point direction of iris and two optical sensor lines is the Z axle.
2, focal length F, resolution S, the spacing of determining two optical sensors is 2D, the radius R of slide rail, the corrected parameter μ of system (system finishes once debugging, and this parameter no longer changes).
3, the bidimensional image sequence data that two optical sensors are collected carries out synchronously according to the timestamp of photologging, detects two bidimensional images of all same timestamps.
4, the two-dimensional coordinate of measuring certain a pair of synchronous bidimensional image is respectively (X1, Y1) and (X2, Y2), then according to the ÷ (X1-X2) of formula X=D * (X1+X2), the ÷ (X1-X2) of Y=D * (Y1+Y2), Z=μ * 2D * R * F ÷ S ÷ (R+F) * (X1-X2) determines this coordinate (X to the synthetic 3-D view of synchronous bidimensional image, Y, Z).
Iris stereopsis image-generating unit 22 sends all bidimensional image sequence datas and synthetic 3 D stereoscopic image sequence data to iris motion sequence processing unit 23.Iris motion sequence processing unit 23 is according to MPEG-4 international standard (ISO/IEC14496) algorithm, filter out two dimensional image as the motion key frame, simultaneously with corresponding 3-D view according to stabbing buffer memory continuous time, and reject all the other are judged to be movement compensating frame by the MPEG-4 algorithm two dimensional image.
The anti-dummy unit 24 of iris image has designed the software program of iris detection according to the motion and the three-dimensional spectral characteristic of the 3 D stereoscopic image of iris motion sequence processing unit 23 transmission at several main iris deception modes.At first whether provide false iris to detect to the tested person, for normal iris image, its three-dimensional imaging is a globoid, and the iris photograph three-dimensional imaging of forging is the class plane body, the said three-dimensional body curvature of its match approaches 0, therefore can detect the iris photograph of forgery; Then whether the tested person being worn the iris contact lenses detects, the iris contact lenses of forging have obvious transition border with the eyeball contact site in the vertical depth of field direction of three-dimensional imaging, thereby can judge by setting the transition threshold value, if be higher than this transition threshold value, conclude that then the user wears the iris contact lenses of forgery; Whether the eyeball to the tested person is that culture detects at last, after the artificial eye three-dimensional imaging of forging was globoid, its color homogeneous region area was bigger, thereby can judge by setpoint color homogeneous area threshold, if be higher than this area threshold, then detecting eyeball is culture.Just can make a determination to the iris detection result this moment.The anti-dummy unit 24 of iris image also has the function that coerce-proof detects except that the measuring ability of routine, this function detects two kinds of approach by static coerce-proof detection and dynamic coerce-proof and realizes.When the user opens static coerce-proof function, system is the state of being coerced when using certain eye (left eye or right eye) identification according to user's predefined, based on Canny.J.F edge detection algorithm (IEEE, 1984) contrast eye appearance profile, thereby can judge whether the user is in the state of being coerced; When the user opens dynamic coerce-proof function, this unit detects the eyelid folding condition according to above-mentioned edge detection algorithm, and add up the frequency that eyelid blocks iris in view of the above, if be higher than the upper frequency limit threshold value that the eyelid of user's predefined blocks iris, conclude that then the user is in the state of being coerced.
25 pairs of 3-D views that detect by anti-dummy unit of iris recognition decision package are done three-dimensional integer wavelet transformation (3DInteger Wavelet Transform), produce corresponding three-dimensional spectral characteristic, itself and the prior corresponding three-dimensional spectrum signature value of registering of iris of user are compared, if error is lower than preset threshold, then identification is passed through.
Also be provided with other recognition device software interface unit 26 in the recognition system 2 of the present invention, when the biological or abiotic recognition methods of other routine of the auxiliary use of needs is discerned, other biology or abiotic recognition device 3 just send data to other recognition device software interface unit 26 by integrated interface 27, other recognition device software interface unit 26 provides the result of other bio-identification or abiotic identification to iris recognition decision package 25, the means of expanding system individual identity identification, thus reach the effect that strengthens with diversified means of identification.
Claims (10)
1, a kind of anti-fake eye iris capturing and recognition device is characterized in that: it comprises an image collecting device and computer based software recognition system two parts;
Described image collecting device comprises a casing, described casing is the optical protection transparent form in the face of the one side of eye iris, each fixing bearing seat on box bilateral wall, between described diaxon bearing, rotate and wear a slide rail, sliding on described slide rail is provided with two optical sensors/camera lens combination, and the rear wall stationkeeping is provided with a light source in casing;
Described recognition system comprises a computing machine, described computer cabinet is provided with a plurality of data-interfaces, in described computer cabinet, be provided with iris stereopsis image-generating unit, described iris stereopsis image-generating unit is electrically connected to iris motion sequence processing unit, described iris motion sequence processing unit is electrically connected to the anti-dummy unit of iris image, the anti-dummy unit of described iris image is electrically connected to the iris recognition decision package, and described iris recognition decision package is electrically connected to human interface devices; Other has other recognition device software interface unit, and an end is electrically connected to described iris recognition decision package, and the other end outwards connects other recognition device by data line and described data-interface; The false proof unit of described iris image includes static coerce-proof detecting unit and dynamic coerce-proof detecting unit;
Described two optical sensors/camera lens combination is connected to described iris stereopsis image-generating unit by data line and described data-interface.
2, a kind of anti-fake eye iris capturing and recognition device as claimed in claim 1 is characterized in that: described slide rail is an arc, is provided with the slide rail end axle that connects described bearing seat at the two ends of described slide rail.
3, a kind of anti-fake eye iris capturing and recognition device as claimed in claim 1 or 2, it is characterized in that: the rotation of described slide rail in described bearing seat realizes by a driven unit, described driven unit comprises a motor, described motor output end connects a main drive gear, described main drive gear be connected with a joggle one fixedly be located on the described slide rail end axle from gear.
4, a kind of anti-fake eye iris capturing and recognition device as claimed in claim 1 or 2, it is characterized in that: the slip that described two optical sensor/lens group are combined on the described slide rail realizes by a slide assemblies respectively, described slide assemblies comprises a pedestal, the centre of pedestal has a groove, in groove, erect two anti-drop blocks, two anti-drop blocks are slidedly arranged in the bottom chute of described slide rail, the two ends of pedestal are fixed another motor and described optical sensor/camera lens combination respectively with one heart, the fastening pulley of the output shaft of described another motor, pulley is slidedly arranged on the described slide rail.
5, a kind of anti-fake eye iris capturing and recognition device as claimed in claim 1 or 2 is characterized in that: described two optical sensors/camera lens combination is slided in the half side zone of described slide rail respectively.
6, a kind of anti-fake eye iris capturing and recognition device as claimed in claim 3 is characterized in that: described two optical sensors/camera lens combination is slided in the half side zone of described slide rail respectively.
7, a kind of anti-fake eye iris capturing and recognition device as claimed in claim 4 is characterized in that: described two optical sensors/camera lens combination is slided in the half side zone of described slide rail respectively.
8, as claim 1 or 2 or 6 or 7 described a kind of anti-fake eye iris capturing and recognition devices, it is characterized in that: described other recognition device is one of Fingerprint Identification Unit, Gait Recognition device, face recognizer or with the combination of upper type.
9, a kind of anti-fake eye iris capturing and recognition device as claimed in claim 3 is characterized in that: described other recognition device is one of Fingerprint Identification Unit, Gait Recognition device, face recognizer or with the combination of upper type.
10, a kind of anti-fake eye iris capturing and recognition device as claimed in claim 4 is characterized in that: described other recognition device is one of Fingerprint Identification Unit, Gait Recognition device, face recognizer or with the combination of upper type.
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| CNB2008101130204A CN100573556C (en) | 2008-05-23 | 2008-05-23 | A kind of anti-fake eye iris capturing and recognition device |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160042346A1 (en) * | 2014-08-11 | 2016-02-11 | Mastercard International Incorporated | Systems and methods for performing payment card transactions using a wearable computing device |
| CN105976469A (en) * | 2016-05-13 | 2016-09-28 | 南京万鸿威视信息技术有限公司 | Intelligent doorkeeper management system with robot and application thereof |
| CN107194231A (en) * | 2017-06-27 | 2017-09-22 | 上海与德科技有限公司 | Unlocking method, device and mobile terminal based on iris |
| CN112432005A (en) * | 2020-11-11 | 2021-03-02 | 湖南警察学院 | Face recognition device of self-adaptive light source |
| US20210350158A1 (en) * | 2018-09-26 | 2021-11-11 | Nec Corporation | Information providing device, information providing method, and storage medium |
-
2008
- 2008-05-23 CN CNB2008101130204A patent/CN100573556C/en not_active Expired - Fee Related
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160042346A1 (en) * | 2014-08-11 | 2016-02-11 | Mastercard International Incorporated | Systems and methods for performing payment card transactions using a wearable computing device |
| US9818114B2 (en) * | 2014-08-11 | 2017-11-14 | Mastercard International Incorporated | Systems and methods for performing payment card transactions using a wearable computing device |
| US10242363B2 (en) | 2014-08-11 | 2019-03-26 | Mastercard International Incorporated | Systems and methods for performing payment card transactions using a wearable computing device |
| CN105976469A (en) * | 2016-05-13 | 2016-09-28 | 南京万鸿威视信息技术有限公司 | Intelligent doorkeeper management system with robot and application thereof |
| CN107194231A (en) * | 2017-06-27 | 2017-09-22 | 上海与德科技有限公司 | Unlocking method, device and mobile terminal based on iris |
| US20210350158A1 (en) * | 2018-09-26 | 2021-11-11 | Nec Corporation | Information providing device, information providing method, and storage medium |
| US11816928B2 (en) | 2018-09-26 | 2023-11-14 | Nec Corporation | Information providing device, information providing method, and storage medium |
| US11816927B2 (en) * | 2018-09-26 | 2023-11-14 | Nec Corporation | Information providing device, information providing method, and storage medium |
| CN112432005A (en) * | 2020-11-11 | 2021-03-02 | 湖南警察学院 | Face recognition device of self-adaptive light source |
| CN112432005B (en) * | 2020-11-11 | 2022-04-08 | 湖南警察学院 | Face recognition device of self-adaptive light source |
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| CN100573556C (en) | 2009-12-23 |
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