CN103106401A - Mobile terminal iris recognition device with human-computer interaction mechanism and method - Google Patents

Mobile terminal iris recognition device with human-computer interaction mechanism and method Download PDF

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CN103106401A
CN103106401A CN2013100480057A CN201310048005A CN103106401A CN 103106401 A CN103106401 A CN 103106401A CN 2013100480057 A CN2013100480057 A CN 2013100480057A CN 201310048005 A CN201310048005 A CN 201310048005A CN 103106401 A CN103106401 A CN 103106401A
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module
iris
iris image
mobile terminal
user
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CN103106401B (en
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何召峰
王占亮
邱显超
马力
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ZHONGKEHONGBA TECH Co Ltd BEIJING
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ZHONGKEHONGBA TECH Co Ltd BEIJING
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    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18Eye characteristics, e.g. of the iris
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Abstract

The invention provides a mobile terminal iris recognition device with a human-computer interaction mechanism. The device comprises a human-computer interaction module, a multi-spectral iris image optical gathering module, an iris image analysis and processing module, a feedback control module and a power supply module, wherein the human-computer interaction module is used for ensuring that a user configures the mobile terminal iris recognition device in the process of iris image gathering and processing and being combined with the device to realize a human-computer interaction function; the multi-spectral iris image optical gathering module is used for gathering an iris image of the user; the feedback control module is used for feeding back processed results of the iris image analysis and processing module to the multi-spectral iris image optical gathering module, accordingly adjusting imaging parameters of the multi-spectral iris image optical gathering module, and feeding back processed results from the iris image analysis and processing module to the feedback control module of the human-computer interaction module. Accordingly to the mobile terminal iris recognition device with the human-computer interaction mechanism and a method, miniaturization, mobility, usability and the like of the iris recognition device can be improved.

Description

Mobile terminal iris identification device and method with man-machine interaction mechanism
Technical field
The present invention relates to the technical fields such as optical imagery, living things feature recognition and information security, relate in particular to a kind of mobile terminal iris identification device and method with active vision, sense of touch and sense of hearing interaction mechanism.
Background technology
Iris is an ingredient of eyes, is positioned at the rear of cornea, lenticular the place ahead.It seems from the outside, iris is in the black pupil of human eye and the circular zone between white sclera.Iris presents abundant texture information under infrared light (generally between the 700-900 nanometer) irradiation, as minutias such as spot, striped, filament, hat dress, crypts.Studies show that, the minutia of iris texture is to be determined by the enchancement factor of embryonic development environment, and identical two irises can not appear in nature, and therefore, iris can be used for determining uniquely people's identity.Iris recognition technology adopts special-purpose optics image capture instrument to gather the human eye iris image, then by digital image processing techniques, pattern-recognition and artificial intelligence technology, the iris image that collects is processed, stores, compared, realize authentication and identification to personnel identity.Iris recognition has the advantages such as uniqueness is high, stability is strong, non-infringement, successfully has been applied to the identity authentication of the occasions such as airport, customs, bank.
Yet, iris is the internal of human body, physical size very little (diameter is generally in the 1cm left and right), inside has been full of the trickle texture structures such as crisscross spot, striped, crypts, must just can collect high-quality iris image by the optical lens that passes through particular design, active light source, control circuit etc.Traditional iris image imaging device and recognition system adopt long-focus (focal length is more than 3cm) camera lens more, equipment volume large (thickness surpasses 2cm), be difficult to accomplish miniaturization, mobile, the user can only carry out iris recognition and authentication in the fixed position that special-purpose iris authentication system has been installed, and can not enjoy anywhere or anytime safety and facility that iris recognition is brought.
In addition, be subjected to the restriction of imaging system, Zoom control algorithm design complexity, traditional iris authentication system (being the Chinese invention patent of CN101295357A as publication number) fixed-focus system that adopt more, the user can only move forward and backward in the position of appointment, therefore, gather inconvenience, poor user experience.In addition, traditional iris collection device (being the Chinese invention patent of CN202196428 as publication number) modes of minute surface (as cold mirror) feedback that adopt guide the user to adjust the position more, this alignment so easily is subject to the impact of human eye astigmatism, causing the user to see in mirror aims at, but the problem such as aligning in fact not yet, often need repeatedly to adjust just and can reach suitable position, be unfavorable for user's use, waste time and energy.
On the other hand, arrival along with mobile Internet age, people more and more on mobile terminal process information, exchange even transaction, preserved a large amount of commercial affairs or privacy data in the mobile terminals such as mobile phone, the information security of mobile terminal, internet, online transaction safety day by day receive publicity and pay attention to.And people often do not arrange startup password when the mobile terminals such as use mobile phone, panel computer, notebook computer.Therefore, the mobile terminals such as mobile phone are stolen or loss in a single day, and above-mentioned data inevitably can leak, thereby causes serious emotional distress and property loss.
At present, also there is no disclosed, actual exercisable, easy-to-use mobile terminal iris identification device and method both at home and abroad.Existing iris authentication system still has larger improved space at aspects such as miniaturization, mobile, ease for use, how to design and realize that user-friendly (particularly, have active vision, sense of touch and sense of hearing interaction mechanism) mobile terminal iris identification device and method remain a difficult problem that needs to be resolved hurrily.In order to address the above problem, the present invention designed and developed can be used for mobile terminal, user-friendly iris identification device of new generation and method.
Summary of the invention
The object of the present invention is to provide a kind of mobile terminal iris identification device with man-machine interaction mechanism, described device comprises human-computer interaction module, multispectral iris image optically detecting module, iris image analysis and processing module, feedback control module and supply module, and wherein said human-computer interaction module is used for making the user be configured described mobile terminal iris identification device and realize human-computer interaction function with described device in the iris image acquiring processing procedure; Described multispectral iris image optically detecting module is used for gathering user's iris image and passes to described iris image analysis and processing module to be processed; Described iris image analysis and processing module is used for the described iris image that collects is carried out analyzing and processing, and result or instruction are delivered to described feedback control module; The result feedback that described feedback control module is used for the iris image analysis and processing module is processed is to described multispectral iris image optically detecting module, so that the imaging parameters to described multispectral iris image optically detecting module is regulated, the result feedback of also the iris image analysis and processing module being processed is to described human-computer interaction module, in order to user's use is instructed; And described supply module is used for described device is powered.
Preferably, described human-computer interaction function is selected from one or more in visual interactive, haptic interaction and the sense of hearing alternately.
Preferably, described human-computer interaction module comprises display screen, microphone, loudspeaker, positioning indicator, range finder module and IO interface.
Preferably, the iris radius of the user that measures by fusion of described range finder module and the distance of described mobile terminal iris identification device and the iris image that calculating collects is estimated user's distance.
Preferably, described multispectral iris image optically detecting module comprises optical imagery module and multispectral lighting unit.
Preferably, described multispectral lighting unit comprises emission wavelength at the main light source of the near infrared light of 750-850 nanometer.
Preferably, described multispectral lighting unit comprises the secondary light source of launching visible light, is used for gathering multispectral iris image.
Preferably, adopt single described optical imagery module or the described optical imagery module of two distances between 6-7cm to gather simultaneously the iris image of user's eyes.
Preferably, described mobile terminal iris identification device is integrated in mobile phone, panel computer or notebook computer, and is assemblied in its front or the back side.
According to a further aspect in the invention, a kind of Zooming method of the optical imagery module for the mobile terminal iris identification device is provided, described mobile terminal iris identification device comprises human-computer interaction module, comprises multispectral iris image optically detecting module, iris image analysis and processing module, feedback control module and the supply module of optical imagery module, and described method comprises the steps: that a) user is by described human-computer interaction module input region of interest; B) determine focusing position by the distance of measuring user and described mobile terminal iris identification device; C) gather the image of a plurality of focusings in automatic focusing range; D) carry out sharpness computation and obtain best focusing position, and described optical imagery module is adjusted to the focusing position of described the best; E) upgrade focusing range, repeating step a)-d), until the result of calculation of adjacent twice is less than certain threshold value.
according to a further aspect in the invention, a kind of iris image analysis and processing method for the mobile terminal iris identification device is provided, described mobile terminal iris identification device comprises human-computer interaction module, multispectral iris image optically detecting module, the iris image analysis and processing module, feedback control module and supply module, described method comprises the steps: a) will carry out analyzing and processing by the iris image quality that described multispectral iris image optically detecting module collects, and feed back to the user according to the quality judged result that analysis obtains and adjust, until the iris image quality that gathers is qualified, b) up-to-standard iris image is carried out the normalized pre-service of iris coarse positioning, iris segmentation and iris image, c) iris image being carried out live body detects, d) carrying out iris feature extracts and encodes, e) carry out the comparison of iris feature template.
Preferably, described step e) complete in described mobile terminal iris identification device, or complete at the remote server end.
Can than prior art, larger improvement be arranged at aspects such as the miniaturization of iris identification device, mobile, ease for use according to mobile terminal iris identification device of the present invention and method, and can realize user-friendlyly, namely have the mobile terminal iris identifying function of active vision, sense of touch and sense of hearing interaction mechanism.
The description and the follow-up detailed description that should be appreciated that aforementioned cardinal principle are exemplary illustration and explanation, should not use the restriction of doing the claimed content of the present invention.
Description of drawings
With reference to the accompanying drawing of enclosing, the more purpose of the present invention, function and advantage will be illustrated by the following description of embodiment of the present invention, wherein:
Fig. 1 schematically shows the block diagram of system according to the mobile terminal iris identification device with active vision, sense of touch and sense of hearing interaction mechanism of the embodiment of the present invention;
Fig. 2 a shows the composition frame chart of human-computer interaction module;
Fig. 2 b shows the calculating of estimated distance and uses process flow diagram;
Fig. 3 a shows the composition frame chart of multispectral iris image optically detecting module;
Fig. 3 b shows the implementation method of the autozoom function of optical imagery module;
Fig. 4 a shows the composition frame chart of the iris image analysis and processing module of described special use;
Fig. 4 b shows the workflow of iris image analysis and processing module;
Fig. 5 shows a kind of implementation of mobile terminal iris identification device in mobile phone according to the embodiment of the present invention;
Fig. 6 shows a kind of implementation of mobile terminal iris identification device in panel computer according to the embodiment of the present invention;
Optional location layout mode when implementing in mobile computing device that Fig. 7-9 show multispectral lighting unit.
Hereinafter, embodiments of the invention will be described with reference to the drawings.In the accompanying drawings, identical Reference numeral represents same or similar parts, perhaps same or similar step.
Embodiment
By the reference one exemplary embodiment, purpose of the present invention and function and be used for realizing that the method for these purposes and function will be illustrated.Yet the present invention is not limited to following disclosed one exemplary embodiment; Can be realized it by multi-form.The essence of instructions is only to help various equivalent modifications Integrated Understanding detail of the present invention.
Problem according to mobile terminal iris recognition identification authentication system of the present invention and method are difficult to accomplish miniaturization and mobile in order to solve traditional iris image imaging device and recognition system has proposed a kind of reality exercisable, easy-to-use mobile terminal iris identification device and method.The present invention designed and developed can be used for mobile terminal, user-friendly iris identification device of new generation and method, particularly, a kind of mobile terminal iris identification device and method with active vision, sense of touch and sense of hearing interaction mechanism proposed.
System survey
Fig. 1 shows the block diagram of system that has the mobile terminal iris identification device 100 of active vision, sense of touch and sense of hearing interaction mechanism according to of the present invention.This device 100 comprises human-computer interaction module 110, multispectral iris image optically detecting module 120, iris image analysis and processing module 130, feedback control module 140 and supply module 150.
Particularly, described human-computer interaction module 110 is used for completing the multiple human-computer interaction functions such as vision, sense of touch and the sense of hearing of iris image acquiring processing procedure, so that the user is configured and obtains the function such as identifying information to installing 100.Described multispectral iris image optically detecting module 120 is used for realizing iris image acquiring multispectral, automatic focusing.Special-purpose iris image analysis and processing module 130 is used for the iris image that collects is carried out analyzing and processing, and result or instruction (as focusing steering order, picture quality result etc.) are delivered to feedback control module 140.The image analysis processing result feedback that feedback control module 140 is used for iris image analysis and processing module 130 is obtained is to multispectral iris image optically detecting module 120, and according to predefined rule, the imaging parameters of optically detecting module 120 carried out intelligence adjusting; Simultaneously, the image analysis processing result feedback that feedback control module 140 also is used for image processing module 130 is obtained is to human-computer interaction module 110, and instructs and feed back in order to the user is used according to predefined rule output.Described supply module 150 is used for equipment is powered, and for example can realize by chargeable battery.Under the equipment AC-less power electric power thus supplied at mobile terminal iris identification device 100 places, this supply module is that device 100 is powered.When equipment inserts AC power, can charge to this supply module.The detailed description of modules will be described with reference to accompanying drawing hereinafter.
Each functions of modules of system describes in detail
Fig. 2 a further shows the composition frame chart of the human-computer interaction module 110 shown in Fig. 1.This human-computer interaction module 110 comprises the display screen 111 that possesses the multi-point touch function, the microphone 112 that possesses the voice collecting function, the loudspeaker 113 with voice output function, the positioning indicator 114 that is used to indicate state, range finder module 115 and IO interface 116.Human-computer interaction module 110 is used for completing the multiple human-computer interaction functions such as visual interactive, haptic interaction and the sense of hearing of iris image acquiring processing procedure be mutual, thereby guides user is used iris authentication system, improves user-friendliness.Particularly, this human-computer interaction module 110 mainly is achieved as follows function:
A) active vision feedback: by display screen, the user's of Real-time Collection information is shown with video mode, thereby the video rapid adjustment that the user can see according to oneself is to the optimal acquisition position;
B) the image processing and analyzing result shows: pass through display screen, the picture quality judged result that the image processing algorithm analysis can be obtained (as clear, unintelligible, please away from) etc. information show in real time and utilize different colors or language to feed back to the user, thereby the present acquisition state of perception that the user can be real-time;
C) control the parameter input: by display screen 111, the user can be configured the parameter of system, also can feed back with mutual the acquisition process process.For example, by touch-screen, the user can specify the position that needs focusing by the mode of click feel region-of-interest.Image processing algorithm also can obtain a guestimate at iris center by this area-of-interest of user's input, realize the function of iris image coarse positioning.Again for example, in the process of registration, operating personnel (or user oneself) can select the image that registration algorithm obtains by touch-screen, accept this image as clicking screen representation, streak screen representation and abandon this image.Again for example, by touch-screen, can control system, such as can by touch-screen arrange device parameter, input oneself ID (identity number) card No. and password, the equipment Output rusults is confirmed etc.Preferably, described display screen possesses the multi-point touch function and controls to realize better user.
D) phonetic entry: by built-in microphone 112, initiatively human-computer interaction module 110 can receive the voice command of user's input, and carries out corresponding operation.
E) audio feedback: by the loudspeaker 113 with voice output function, system can feed back to the user in the mode of voice with feedback command, image processing and analyzing result, identification authentication result etc., improves the degree of convenience of user's practicality.For example, the customer location information that image processing algorithm or range finder module analysis can be obtained (as " please away from a bit ", " please near a bit ", " please keep " etc.) feeds back to the user, and the user adjusts the position with auditory tone cues.
F) deixis: described active human-computer interaction module 110 can also preferably comprise the positioning indicator 114 of the state of being used to indicate, this positioning indicator 114 can be realized by the pilot lamp that can send particular color light, can show the mode with pilot lamp such as image analysis processing result, identification authentication result by pilot lamp.For example, green pilot lamp can represent that identification passes through, and red pilot lamp can represent recognition failures.
G) distance measurement function: described active human-computer interaction module 110 can further be realized distance measurement function, is used for measuring in real time the distance of current user and iris optical imaging device, thereby obtains best iris imaging effect.As shown in Fig. 2 a, range finder module 115 is comprised of hardware range finder module 1151 and algorithm range finder module 1152.Wherein, hardware range finder module 1151 is by emission infrared light or laser measuring apart from d1 user and mobile terminal iris identification device 100; Algorithm range finder module 1152 is by calculating the iris radius of the iris image collect, by radius size estimated service life person and device apart from d2.The estimated distance value that hardware range finder module 1151 and algorithm range finder module 1152 obtain merges through after filtering, obtains user's estimated distance D.Fusion formula is as follows:
D=0.5*(d1+d2)(1)
Fig. 2 b shows the calculating of estimated distance and uses process flow diagram.Its concrete steps are as follows:
Step S201: by hardware range finder module 1151 measure users and mobile terminal iris identification device 100 apart from d1;
Step S202: by algorithm range finder module 1152 obtain users and device apart from d2;
Step S203: the d1 that obtains in step S201 and step S202 and d2 are merged obtain estimated distance D;
Step S204: process according to distance value minute situation: if (effectively acquisition range is designated as [D_min to current distance (being estimated distance D) not in effective acquisition range of iris image imaging device, D_max], D_min wherein, D_max determine when camera lens and CMOS determine gathering.For different optical lens parameters, this parameter may change), adjust the position by human-computer interaction module 110 prompting users in step S205, as away from, close, move left and right etc., then system carries out Resurvey, the result that will collect is again carried out range estimation by hardware range finder module and algorithm range finder module again, the step S201-S204 above repeating; If current distance is in effective acquisition range of iris image imaging device, by voice or screen indication prompting user's " current location is suitable; please keep a period of time ", simultaneously current estimated distance D is passed to automatic focusing module, for automatic focusing module provides initial focusing range.
Step S206: move automatic focus algorithm, after collecting the image that a width focuses, in step S207, image is carried out Treatment Analysis, and recognition result is transferred to human-computer interaction module 110 in step S208, feed back to the user.
Fig. 3 a further shows the composition frame chart of the described multispectral iris image optically detecting module 120 shown in Fig. 1.As shown in Fig. 3 a, described multispectral iris image optically detecting module 120 is comprised of optical imagery module 121 and multispectral lighting unit 122.Wherein, optical imagery module 121 is comprised of the image acquisition sensor 211 of special use, special-purpose iris capturing optical lens 212, zoom motor 213, is used for realizing iris image acquiring multispectral, automatic focusing.This module both can adopt the front end that is placed on mobile device as front-facing camera, also can be used as the rear end that post-positioned pick-up head is placed on mobile device.The image acquisition distance is 5-30cm, effectively more than depth of field 10cm.
Multispectral lighting unit 122 is arranged in a combination by the illuminating lamp of a plurality of different-wavebands, is used for sending the light of some strength.Under the illumination of multispectral lighting unit 122, imaging modules 121 can obtain multispectral iris image.Multi-spectral illumination system comprises again main light source 1221 and secondary light source 1222.Main light source 1221 is indispensable lighting unit, for example adopts wavelength coverage at the near infrared illumination LED of 750-950nm, is used for gathering near infrared iris image; Secondary light source 1222 is optional lighting unit, preferably can be other wavelength illuminating lamps such as blue light, green glow, gold-tinted, visible light, is used for gathering multispectral iris image.The live body that the multispectral iris image that gathers can be used for focusing position judgement and iris image detects.The locus arrangement method of lighting unit 122 is according to the actual conditions flexible configuration, can be on the camera lens limit, both sides, and also can be at the offside of mobile lens.Optional location layout mode when implementing in mobile computing device (for example mobile phone, panel computer, notebook computer) that Fig. 7-9 show multispectral lighting unit, in concrete enforcement, the layout of multispectral lighting unit for example can be selected circle fork in figure
Figure BDA00002826293700081
Any one in the position of mark or a plurality of combinations are namely in the frame surrounding of mobile computing device.
Optical imagery module 121 is comprised of image acquisition sensor 211 (for example CMOS, CCD), iris imaging optical lens 212, motor 213 and multi-spectrum filter sheet 214.This module 121 can gather the iris image of user's right and left eyes simultaneously.Two kinds of implementations are arranged, a kind of is to use the imaging modules of single high resolving power (more than 5,000,000 pixels) to gather simultaneously user's iris of both eyes image, and another kind is the iris image that the imaging modules of two low resolution of employing gathers respectively user's right and left eyes.When adopting single high-resolution imaging module, the image acquisition sensor resolution that adopts is not less than 3,000,000 pixels.Optional location layout mode when implementing in mobile phone, panel computer, notebook computer that Fig. 7, Fig. 8, Fig. 9 show respectively the optical imagery module can be assemblied in the equipment front, also can be assemblied in the equipment back side.In figure, empty circles (o) has marked the location layout mode when adopting single imaging modules, and solid circles (●) has marked the location layout mode when adopting two imaging modules.
Preferably, when adopting two imaging modules, the distance between two imaging modules is between 6-7cm.
Preferably, the multi-spectrum filter sheet 214 that this optical imagery module 121 comprises is the optical filters that can make the light of the light source that comprises in multispectral lighting unit 122 pass through, can be the optical filter composition that a slice comprises a plurality of spectrum, also can be formed by the optical filter of multi-disc single spectrum.
Preferably, this module has the autozoom function, and wherein zoom function can be completed by the automatic focusing system that the image acquisition sensor carries, and also can control motor 213 by the iris image Focus value analytical approach of special use and realize zoom function.
Especially, the present invention adopts a kind of automatic focusing control algolithm of iteration, at first, collect image, and by the definition of iris image algorithm, the sharpness that obtains a series of images that obtains after the focal length that changes zoom lens is described, when obtaining picture rich in detail, send zoom lens registration signal, and think that the focal length of this moment is optimum focal length.
Fig. 3 b shows the implementation method of the autozoom function of optical imagery module 121.Particularly, as shown in Fig. 3 b, described given automatic focusing control system focus process is as follows:
Step S301: input focusing position.The user is by residing multi-point touch display screen, and manual point touches (or mouse click) area-of-interest (being focusing position).Described area-of-interest is centered by screen touch point (or mouse clicking point), the square take H as the length of side.Especially, the present invention supports 2 focal modes, and namely the user can click the zone of the iris right and left eyes in screen, realizes the integral body focusing to the eyes imaging region.
Step S302: measure the range information that obtains current user according to above-mentioned distance-measurement module, and obtain the scope [P of focusing automatically according to range information min, P max].As previously mentioned, due to the range information of having known current user, in theory, and if this range information is accurately, a definite focusing position (being that optical lens is to the distance of sensor) that can be unique.But because this distance is estimated to obtain, be inaccurate, certain error is arranged, therefore, focusing position is also uncertain, but in a scope, i.e. [P min, P max]);
Step S303: in automatic focusing range, gather the image of a plurality of focusings.Herein, optical lens of a focusing correspondence 212 arrives the distance of image acquisition sensor 211.Motor control optical lens 212 is from P maxMove to P with certain step-length towards image acquisition sensor 211 min, suppose that step-length is A, mobile position is [P min, P min+ A, P min+ 2A ..., P max], and gather piece image on each position.
Step S304: by sharpness computation, obtain best focusing position: calculate the Focus value of each position area-of-interest, the sharpness of establishing each point is F min, F min+ A, F min+ 2A, F min+ 3A ..., F max, and find high definition F BestCorresponding position, i.e. best focusing position P BestEspecially, when the user inputs the focusing position of eyes, the sharpness of right and left eyes area-of-interest need to be merged the sharpness F that obtains final area-of-interest roi, concrete fusion method is:
F roi=(F left+F right)/2
Wherein, F LeftAnd F RightSharpness for the right and left eyes area-of-interest.
Step S305: obtain best focusing position P BestAfter, regulate the relative position of optical lens 212 and image acquisition sensor 211 by motor, imaging modules is adjusted to this best focusing position P Best
Step S306: according to the focusing range in the best focusing renewal next round focus process that obtains.Obtain focusing position P corresponding to the highest focusing of current sharpness Best, and the minimax focusing range when upgrading position next time and adjusting, and step-length is adjusted into A '=0.2A.Namely
P max=P best+2A’,
P min=P best-2A’
As previously mentioned, this method is the method for an iteration, and after each iteration, focusing range dwindles gradually.
Step S307: repeating step S303 is to step S306, until the F that obtains that front and back are adjacent after moving for twice BestDifference is less than certain threshold value, and for example 5%.
Especially, in order to improve the processing speed of system, iterations herein and the threshold value of convergence thereof can arrange flexibly according to practical application scene difference, and the number of times of iteration minimum is 1, the most very much not should be over 3 times.
Especially, for the adaptivity of raising system under the different light environment, described definition of iris image algorithm is on the basis of traditional definition of iris image algorithm, merged the saturation infromation of image, particularly, if the saturation degree of image is too high, to penalty term of image definition calculated value, for example 10% punishment; If the saturation degree of image is too low, to gain term of image definition calculated value, for example 10% gain.
Fig. 4 a shows the composition frame chart of the iris image analysis and processing module 130 of described special use.This module is comprised of iris image processing module 131, image processor 132 and the storer 133 of special use.Iris image analysis and processing module 130 is used for the iris image that collects is carried out analyzing and processing, as the quality judgement, focus calculating, feature extraction and than reciprocity function automatically.Image processor and storer can move the iris image Treatment Analysis and process.Both can directly use the interior existing computing unit (for example Intel processor of notebook computer or the arm processor in smart mobile phone) of mobile platform (comprising smart mobile phone, notebook computer, panel computer) to realize the function of graphics processing unit in image processing process, also can configure separately special graphic process unit (such as ARM, DSP etc.) and carry out above-mentioned image processing, these different modes all belong to spirit of the present invention and essential scope.
Fig. 4 b shows the workflow of the iris image analysis and processing module 130 in Fig. 4 a.As shown in Fig. 4 b, the processing that described iris image processing module 131 is carried out mainly comprises iris image quality analysis, iris preprocessing, the detection of iris image live body, iris image feature coding and iris image feature templates comparison five parts.
In step S401, gather iris image by multispectral iris image optically detecting module 120.
In step S402, by the iris image quality analysis module, the iris image that obtains is carried out analyzing and processing, and the quality judged result that obtains according to analysis by audio visual interaction feedback system feedback to the user, be used for the guides user location or be used for the iris image acquiring unit is reasonably configured and controls.Particularly, when the iris image quality analysis module is judged iris image off quality, can be by the instruction of audio visual interaction feedback system feedback to user's Resurvey, with guides user Resurvey iris, the quality of iris image rationally till.
Then at step S403, up-to-standard iris image is carried out pre-service.First substep is the iris coarse positioning, and in this step, the Position Approximate of Primary Location iris in image is if detection and location less than suitable iris image, need turn back to step S401 prompting user Resurvey iris image.The user adjusts the position according to prompting, and eye alignment is taken camera.If detection and location are to the position of iris, carry out the second sub-steps image is carried out iris segmentation, obtain the exradius of iris, and adjust the position according to the large mere suggestion user of resulting exradius, as too large, point out user distance a little further, if too little, point out the user a little close.Simultaneously, point out the user position according to eyes in image, if too inclined to one side, points out the user suitable shift position.In addition, pretreatment module also comprises the occlusion area such as eyelid, eyelashes of positioning image.Cut apart obtain the iris effective coverage after, under the 3rd sub-steps, image is carried out iris image normalization, namely based on iris inside and outside circle positioning result, carry out rectangular coordinate to polar conversion, the original iris image under rectangular coordinate is normalized to a fixing rectangular area under polar coordinates.
Then, at step S404, iris image being carried out live body detects.Operation iris image live body detection algorithm judge the current iris image that collects whether from the eyes of live body, rather than from counterfeit, as glass eyeball, printing iris photo, iris video, U.S. pupil etc.In case come from the iris image of counterfeit when present image being detected, enter step S405 prompting or report to the police, thereby avoiding system to be subject to the attack of counterfeit, guarantee the security of iris authentication system.Especially, described iris image live body detection algorithm is analyzed based on multispectral image, multispectral image comprises visible images, near-infrared image and blue light image or green light image (or optical imagery of its all band), disposal route used is texture analysis and algorithm for pattern recognition, the texture analysis method includes but not limited to the local binary patterns feature, Gabor textural characteristics etc., mode identification method includes but not limited to support vector machine, Adaboost, neural network scheduling algorithm.
If judge current iris image from live body, enter step S406 and carry out iris feature extraction and coding.Extract iris texture characteristic code (as traditional binary Gabor phase code, sequencing condition code etc.) on normalized image, obtain the iris feature template of present image.
Then, carry out the comparison of iris feature template in step S407.Pre-stored registration feature code in the iris feature template database in this condition code and registry is carried out the comparison clearing of Hamming distance (Hamming Distance), and draw the identification authentication result according to the comparison mark, thereby current user's identity is verified.If authentication failed enters into step S405, checking finishes or reports to the police; If be proved to be successful, method finishes.
Especially, described iris image comparison can be completed in described mobile terminal, also can complete at the remote server end, described remote server end comprises the data processing server at individual data center, can be also to be similar to the virtual server that is stored in high in the clouds.When the machine is compared, registration feature should be stored in the interior or prior storage unit that is downloaded to the machine by network of storage unit of the machine in advance.When the remote server end is compared, the iris image that collects is completed iris image quality analysis, iris preprocessing, live body monitoring and feature coding process in the machine, only the iris feature code that is drawn into is transferred to remote server, after server end is completed comparison, recognition result or follow-up result are transferred to the machine.
Especially, security for the guarantee information disposal system, carrying out under remote mode, described feature masterplate also needs to check hardware identity (ID) information of described mobile terminal device, international mobile subscriber identifier (IMSI) during for example smart mobile phone is used, the hard disk sequence number of panel computer or notebook computer etc. can unique this mobile terminal of sign information.
Especially, image recognition processes is supported Real time identification pattern and non real-time recognition mode.Under the Real time identification pattern, system processes, encodes and compare each width image, obtains recognition result.Under non real-time pattern, at first system gathers the iris image in the certain hour scope, then therefrom selects 1-3 up-to-standard image, and identifies comparison.
The user uses the process of apparatus of the present invention
The implementation that the user uses the mobile terminal iris identification device 100 with active vision, sense of touch and sense of hearing interaction mechanism of the present invention to carry out authentication is as follows:
A) user brings into operation by the iris capturing disposal system software that click starts in mobile terminal;
B) under the condition of radiation of visible light, system begins to gather iris image.In this process, need the suitable adjusting position of user, make iris optical imaging device can collect the image of eyes or at least one eyes;
C) user clicks the area-of-interest that needs focusing;
D) system obtains the distance range of current user and device by range finder module or image analysis algorithm;
E) obtain area-of-interest position and distance range after, device starts the near infrared illuminator, and begins to gather the near infrared iris image of one group of different focal position.Herein, different focal positions are by the Configuration to iris optical imagery module;
F) the image acquisition and processing module is carried out Treatment Analysis to the image sequence that collects, and calculates the massfraction of every width interesting image regions, and obtains best focal position based on massfraction;
G) the optical imagery module is configured to this best focus position, shows simultaneously the mark (as the check mark of green) that image is aimed on display screen.The mark that described image is aimed at also can be realized by other indicating equipments on mobile terminal, if send the pilot lamp of particular color light;
H) the optical imagery module gathers several near infrared iris images near this focal position;
I) image that collects based on h step of image analysis processing module is processed, and obtains three the highest width images of massfraction, and it is carried out feature extraction and coding;
J) condition code of the feature coding of described three width optimized images and registration in advance is compared, and obtains identity authentication result.Herein, the iris feature code of registration in advance can be stored in this locality, also can be stored on the server of far-end.If the former, comparison process is completed in mobile terminal this locality; If the latter, comparison process is completed at the server of far-end.
K) comparison result is processed.If compare unsuccessfully, refuse user's this time ID authentication request, and start warning device in application-specific; If compare successfully, pass through this time ID authentication request of user, and allow it to carry out subsequent operation.
Especially, above-mentioned using method can adopt forward type, also can adopt rear-mountedly, and namely harvester is arranged on mobile phone front portion or back.
Especially, the click described in above-mentioned steps can be that finger mouse is clicked, and also can refer to the touching of finger or writing pencil.Especially, when the optically detecting device collected binocular images, described area-of-interest referred to iris and the pupil region of eyes; When only the optically detecting device only collected eyes, described area-of-interest referred to iris and the pupil position of the current eyes that collect.
Application Example
Embodiment 1: mobile terminal iris identification device and the application of method in smart mobile phone with active vision, sense of touch and sense of hearing interaction mechanism.
The present invention needing in smart mobile phone can be widely used in the scene of authentication and identification, such as individual privacy protection, online payment, mobile-phone payment etc.Fig. 5 shows a kind of implementation of device of the present invention in mobile phone.Wherein, optical imagery module 121 adopts 8,000,000 pixel near infrared mobile phone imaging modules, and multispectral lighting unit 122 adopts the near-infrared LED of 750-850 nanometer and the green LED of wavelength 480-550 nanometer to form.Multi-point touch display screen 111 adopts the display screen of smart mobile phone.Iris image analysis and processing module 130 and feedback control module 140 adopt primary processor and the controller that smart mobile phone carries to form.Supply module 150 adopts smart mobile phone to carry lithium battery.
The smart mobile phone that has installed iris identification device of the present invention additional can be widely used in individual privacy protection, online payment, mobile-phone payment etc.For example, smart phone user Mr. Zhang will conduct interviews to the individual privacy information that is stored on own smart mobile phone, and these information are stored in a specific file.These files are associated by being arranged at the iris recognition monitoring of software that runs in smart mobile phone in advance.When Mr. Zhang need to access individual privacy information, the iris recognition monitoring of software brought into operation automatically, and watched iris optical imagery module 121 attentively by speech synthesizer 113 and multi-point touch panel 111 prompting Mr. Zhangs.At this moment, multispectral iris image optically detecting module is started working, and collects a width Mr. Zhang iris image by steps such as autozooms.Through the processing of special-purpose iris image analysis module 130, obtain Mr. Zhang's iris feature code, and condition code and the feature templates that is stored on smart mobile phone are in advance compared.If compare successfully, Mr. Zhang can access the individual privacy information of oneself; If compare unsuccessfully, Mr. Zhang's request of access is refused by system.Simultaneously, by the setting of necessity, the form of this visit information with note can also be sent in other phone numbers of Mr. Zhang's appointment.Thereby guaranteed the safety of Mr. Zhang's individual privacy information.
Embodiment 2: mobile terminal iris identification device and the application of method in panel computer with active vision, sense of touch and sense of hearing interaction mechanism.
The present invention needing in panel computer can be widely used in the scene of authentication and identification, such as individual privacy protection, online payment, internet account login etc.Fig. 6 shows a kind of implementation of device of the present invention in panel computer.Wherein, optical imagery module 121 adopts two 2,000,000 pixel near infrared mobile phone imaging modules, and multispectral lighting unit 122 adopts the near-infrared LED of 750-850 nanometer and the yellow led of wavelength 55-600 nanometer to form.Multi-point touch display screen 111 adopts the display screen of panel computer.Iris image analysis and processing module 30 and feedback control module 140 adopt primary processor and the controller that panel computer carries to form.Supply module 50 adopts panel computer to carry lithium battery.
The panel computer that has installed iris identification device of the present invention additional can be widely used in individual privacy protection, online payment etc.For example, need online payment to transfer accounts etc. during smart phone user Mr. Zhang shopping online.Mr. Zhang, when Mr. Zhang needed online payment, the iris recognition monitoring of software brought into operation automatically, and watched iris optical imagery module 121 attentively by speech synthesizer 113 and multi-point touch panel 111 prompting Mr. Zhangs.At this moment, multispectral iris image optically detecting module is started working, and collects a width Mr. Zhang iris image by steps such as autozooms.Through the processing of special-purpose iris image analysis module 130, obtain Mr. Zhang's iris feature code, and condition code and the feature templates that is stored on remote server are in advance compared.If compare successfully, Mr. Zhang can complete payment process; If compare unsuccessfully, system's refusal Mr. Zhang's payment request.Simultaneously, by the setting of necessity, the form of this visit information with note can also be sent in the phone number of Mr. Zhang's appointment.Thereby guaranteed the safety of Mr. Zhang's online payment.
Embodiment 3: mobile terminal iris identification device and the application of method in notebook computer with active vision, sense of touch and sense of hearing interaction mechanism.This application mode and embodiment 1,2 similar do not repeat them here.
The above; only be the embodiment in the present invention; but protection scope of the present invention is not limited to this; anyly be familiar with the people of this technology in the disclosed technical scope of the present invention; can understand conversion or the replacement expected; all should be encompassed in of the present invention comprise scope within, therefore, protection scope of the present invention should be as the criterion with the protection domain of claims.In conjunction with the explanation of the present invention and the practice that disclose here, other embodiment of the present invention are apparent for those skilled in the art.Illustrate with embodiment only to be considered to exemplary, true scope of the present invention and purport limit by claim.

Claims (12)

1. mobile terminal iris identification device with man-machine interaction mechanism, described device comprises human-computer interaction module, multispectral iris image optically detecting module, iris image analysis and processing module, feedback control module and supply module, wherein
Described human-computer interaction module is used for making the user be configured described mobile terminal iris identification device and realize human-computer interaction function with described device in the iris image acquiring processing procedure;
Described multispectral iris image optically detecting module is used for gathering user's iris image and passes to described iris image analysis and processing module to be processed;
Described iris image analysis and processing module is used for the described iris image that collects is carried out analyzing and processing, and result or instruction are delivered to described feedback control module;
The result feedback that described feedback control module is used for the iris image analysis and processing module is processed is to described multispectral iris image optically detecting module, so that the imaging parameters to described multispectral iris image optically detecting module is regulated, the result feedback of also the iris image analysis and processing module being processed is to described human-computer interaction module, in order to user's use is instructed; And
Described supply module is used for described device is powered.
2. device as claimed in claim 1, wherein said human-computer interaction function are selected from one or more in mutual of visual interactive, haptic interaction and the sense of hearing.
3. device as claimed in claim 1, wherein said human-computer interaction module comprises display screen, microphone, loudspeaker, positioning indicator, range finder module and IO interface.
4. the user that device as claimed in claim 3, wherein said range finder module measure by fusion and the iris radius of the distance of described mobile terminal iris identification device and the iris image that calculating collects are estimated user's distance.
5. device as claimed in claim 1, wherein said multispectral iris image optically detecting module comprises optical imagery module and multispectral lighting unit.
6. device as claimed in claim 5, wherein said multispectral lighting unit comprises emission wavelength at the main light source of the near infrared light of 750-850 nanometer.
7. device as claimed in claim 5, wherein said multispectral lighting unit comprises the secondary light source of launching visible light, is used for gathering multispectral iris image.
8. device as claimed in claim 5, wherein adopt single described optical imagery module or the described optical imagery module of two distances between 6-7cm to gather simultaneously the iris image of user's eyes.
9. device as claimed in claim 1, wherein said mobile terminal iris identification device is integrated in mobile phone, panel computer or notebook computer, and is assemblied in its front or the back side.
10. Zooming method that is used for the optical imagery module of mobile terminal iris identification device, described mobile terminal iris identification device comprises human-computer interaction module, comprises multispectral iris image optically detecting module, iris image analysis and processing module, feedback control module and the supply module of optical imagery module, and described method comprises the steps:
A) user is by described human-computer interaction module input region of interest;
B) determine focusing position by the distance of measuring user and described mobile terminal iris identification device;
C) gather the image of a plurality of focusings in automatic focusing range;
D) carry out sharpness computation and obtain best focusing position, and described optical imagery module is adjusted to the focusing position of described the best;
E) upgrade focusing range, repeating step a)-d), until the result of calculation of adjacent twice is less than certain threshold value.
11. iris image analysis and processing method that is used for the mobile terminal iris identification device, described mobile terminal iris identification device comprises human-computer interaction module, multispectral iris image optically detecting module, iris image analysis and processing module, feedback control module and supply module, and described method comprises the steps:
A) will carry out analyzing and processing by the iris image quality that described multispectral iris image optically detecting module collects, and feed back to the user according to the quality judged result that analysis obtains and adjust, until the iris image quality that gathers is qualified;
B) up-to-standard iris image is carried out the normalized pre-service of iris coarse positioning, iris segmentation and iris image;
C) iris image being carried out live body detects;
D) carrying out iris feature extracts and encodes;
E) carry out the comparison of iris feature template.
12. method as claimed in claim 11, wherein said step e) complete in described mobile terminal iris identification device, or complete at the remote server end.
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Inventor after: He Zhaofeng

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