CN103106401B - Mobile terminal iris recognition device with human-computer interaction mechanism - Google Patents

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

Info

Publication number
CN103106401B
CN103106401B CN201310048005.7A CN201310048005A CN103106401B CN 103106401 B CN103106401 B CN 103106401B CN 201310048005 A CN201310048005 A CN 201310048005A CN 103106401 B CN103106401 B CN 103106401B
Authority
CN
China
Prior art keywords
iris
module
image
iris image
mobile terminal
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.)
Active
Application number
CN201310048005.7A
Other languages
Chinese (zh)
Other versions
CN103106401A (en
Inventor
何召峰
王占亮
邱显超
马力
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.)
ZHONGKEHONGBA TECH Co Ltd BEIJING
Original Assignee
ZHONGKEHONGBA TECH Co Ltd BEIJING
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 ZHONGKEHONGBA TECH Co Ltd BEIJING filed Critical ZHONGKEHONGBA TECH Co Ltd BEIJING
Priority to CN201310048005.7A priority Critical patent/CN103106401B/en
Publication of CN103106401A publication Critical patent/CN103106401A/en
Application granted granted Critical
Publication of CN103106401B publication Critical patent/CN103106401B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06V40/19Sensors therefor

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Ophthalmology & Optometry (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

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

A kind of mobile terminal iris identification device with human-computer interaction mechanism
Technical field
The present invention relates to the technical field such as optical imagery, living things feature recognition and information security, more particularly, to one kind has The mobile terminal iris identification device of active vision, tactile and sense of hearing interaction mechanism and method.
Background technology
Iris is a part of eyes, positioned at the rear of cornea, lenticular front.Externally come, iris It is in the area between the black pupil of human eye and white sclera.Iris is in infrared light (typically in 700-900 nanometer Between) irradiate under present abundant texture information, the such as minutia such as spot, striped, filament, hat dress, crypts.Research table Bright, the minutia of iris texture is to be determined by the enchancement factor of embryonic development environment, and nature is it is unlikely that complete phase Two same irises, therefore, iris can be used for uniquely determining the identity of people.Iris recognition technology is adopted using special optical imagery Collection instrument collection human eye iris image, then passes through digital image processing techniques, pattern-recognition and artificial intelligence technology to collecting Iris image carry out processing, store, compare, realize to the certification of personnel identity and identification.Iris recognition have uniqueness high, Stability is strong, the non-property invaded the advantages of, have been successfully applied for the identity authentication of the occasions such as airport, customs, bank.
However, iris is the internal of human body, physical size very little (diameter typically in 1cm about), inside is full of The fine textured structure such as crisscross spot, striped, crypts is it is necessary to by the optical lens, actively through particular design Light source, control circuit etc. just can collect high-quality iris image.Traditional iris image imaging device and identifying system are many Using long-focus (focal length is in more than 3cm) camera lens, equipment volume larger (thickness is more than 2cm) is it is difficult to accomplishing miniaturization, moving Change, user can only carry out iris recognition and authentication in the fixed position being mounted with special iris authentication system it is impossible at any time Safety and facility that enjoyment iris recognition everywhere is brought.
Additionally, being limited by imaging system, Zoom control algorithm design complexities, traditional iris authentication system is (as public affairs The number of opening is the Chinese invention patent of CN101295357A) adopt fixed-focus system more, user can only move forward and backward in specified position, Therefore, gather inconvenient, poor user experience.Additionally, traditional iris collection device is (in Publication No. CN202196428 State's patent of invention) how by the way of minute surface (as cold mirror) feeds back, to guide user's adjustment position, this alignment is easily subject to To the impact of human eye astigmatism, user is led to see in mirror aligned, but the problems such as be actually not yet aligned, often Need repeatedly adjustment to can be only achieved suitable position, be unfavorable for the use of user, waste time and energy.
On the other hand, with the arrival in mobile interchange epoch, people more and more on mobile terminals processing information, enter Row exchange is even concluded the business, and saves substantial amounts of commercial affairs or privacy data, mobile terminal, the letter of internet in the mobile terminal such as mobile phone Cease safety, online transaction is of increasing concern safely and payes attention to.And people are using mobile phone, panel computer, notebook computer etc. During mobile terminal, often it is not provided with startup password.Therefore, the mobile terminal such as mobile phone is once stolen or loses, and above-mentioned data can not Can leak with avoiding, thus causing serious emotional distress and property loss.
At present, also there is no disclosed, actual exercisable, easy-to-use mobile terminal iris identification device and side both at home and abroad Method.Existing iris authentication system still has larger improved space at aspects such as miniaturization, mobile, ease for use, how to design Realize user-friendly (specifically, there is active vision, tactile and sense of hearing interaction mechanism) mobile terminal iris identification device Remain a difficult problem urgently to be resolved hurrily with method.In order to solve the above problems, the present invention has designed and developed and can be used for moving eventually End, user-friendly a new generation's iris identification device and method.
Content of the invention
It is an object of the invention to provide a kind of mobile terminal iris identification device with human-computer interaction mechanism, described dress Put including human-computer interaction module, multispectral iris image optically detecting module, iris image analysis processing module, feedback control mould Block and supply module, wherein said human-computer interaction module is used for making user to described shifting in iris image acquiring processing procedure Dynamic terminal iris identification device is configured and is realized human-computer interaction function with described device;Described multispectral iris image optics Acquisition module includes the optical imagery module containing multispectral optical filter and multispectral lighting unit, for gathering the rainbow of user Film image simultaneously passes to described iris image analysis processing module and is processed;Described iris image analysis processing module includes rainbow Film image processing module, image processor and memory, for being analyzed to the described iris image collecting processing, and will Result or instruction are delivered to described feedback control module;Described feedback control module is used for for iris image analysis processing mould The result that block is processed feeds back to described multispectral iris image optically detecting module, so as to described multispectral iris image optics The imaging parameters of acquisition module are adjusted, and the result also processing iris image analysis processing module feeds back to described man-machine friendship Mutually module, so that the use to user 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 of visual interactive, haptic interaction and sense of hearing interaction.
Preferably, described human-computer interaction module include display screen, microphone, loudspeaker, positioning indicator, range finder module and Input/output interface.
Preferably, described range finder module passes through to merge the user measuring and described mobile terminal iris identification device Distance and calculate the iris radius of the collected iris image distance to estimate user.
Preferably, described multispectral iris image optically detecting module includes optical imagery module and multispectral illumination list Unit.
Preferably, described multispectral lighting unit comprises the main light source of the near infrared light in 750-850 nanometer for the launch wavelength.
Preferably, described multispectral lighting unit comprises to launch the secondary light source of visible ray, for gathering multispectral iris Image.
Preferably, the described optical imagery mould between 6-7cm using single described optical imagery module or two distances Group gathers the iris image of the eyes of user simultaneously.
Preferably, described mobile terminal iris identification device is integrated in mobile phone, panel computer or notebook computer, and fills Fit over before it or the back side.
According to a further aspect in the invention, there is provided a kind of optical imagery module for mobile terminal iris identification device Zooming method, described mobile terminal iris identification device includes human-computer interaction module, comprises the multispectral of optical imagery module Iris image optically detecting module, iris image analysis processing module, feedback control module and supply module, methods described includes Following steps:A) user passes through described human-computer interaction module input region of interest;B) pass through to measure user and described movement The distance of terminal iris identification device is determining focusing position;C) gather the image of multiple focusings in the range of auto-focusing; D) carry out sharpness computation and obtain optimal focusing position, and described optical imagery module is adjusted to described optimal focusing position Put;E) focusing range, repeat step a)-d are updated), until adjacent result of calculation twice is less than certain threshold value.
According to a further aspect in the invention, there is provided a kind of iris image analysis for mobile terminal iris identification device Processing method, described mobile terminal iris identification device include human-computer interaction module, multispectral iris image optically detecting module, Iris image analysis processing module, feedback control module and supply module, methods described comprises the steps:A) will be by described The iris image quality that multispectral iris image optically detecting module collects is analyzed processing, and the matter being obtained according to analysis Amount judged result feeds back to user and is adjusted, till the iris image quality of collection is qualified;B) to up-to-standard rainbow Film image carries out iris coarse positioning, iris segmentation and the normalized pretreatment of iris image;C) iris image is lived Health check-up is surveyed;D) iris feature extraction and coding are carried out;E) carry out iris feature template matching.
Preferably, described step e) completes in described mobile terminal iris identification device, or complete in remote server Become.
Mobile terminal iris identification device according to the present invention and method can be in the miniaturization of iris identification device, movements The aspects such as change, ease for use have larger improvement compared with prior art it is possible to realize user-friendly, that is, have active vision, touch Feel the mobile terminal iris identifying function with sense of hearing interaction mechanism.
It should be appreciated that aforementioned description substantially and subsequently detailed description are exemplary illustration and explanation, should not As the restriction to the claimed content of the present invention.
Brief description
With reference to the accompanying drawing enclosed, the more purpose of the present invention, function and advantage will be as follows by embodiment of the present invention Description is illustrated, wherein:
Fig. 1 schematically shows the movement with active vision, tactile and sense of hearing interaction mechanism according to embodiments of the present invention The block diagram of system of terminal iris identification device;
Fig. 2 a shows the composition frame chart of human-computer interaction module;
Fig. 2 b shows the calculating of estimated distance and uses flow chart;
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 described special iris image analysis processing module;
Fig. 4 b shows the workflow of iris image analysis processing module;
Fig. 5 shows mobile terminal iris identification device according to embodiments of the present invention in one of mobile phone realization side Formula;
Fig. 6 shows that mobile terminal iris identification device according to embodiments of the present invention is realized in one of panel computer Mode;
Fig. 7-9 shows multispectral lighting unit optional location layout mode when implementing in mobile computing device.
Hereinafter, embodiments of the invention will be described with reference to the drawings.In the accompanying drawings, identical reference represent identical Or similar part, or same or similar step.
Specific embodiment
By reference to one exemplary embodiment, the purpose of the present invention and function and the side for realizing these purposes and function Method will be illustrated.However, the present invention is not limited to one exemplary embodiment disclosed below;Can by multi-form Lai It is realized.The essence of specification is only to aid in the detail of the various equivalent modifications Integrated Understanding present invention.
Mobile terminal iris recognition identification authentication device according to the present invention and method are in order to solve traditional iris image Imaging device and identifying system are difficult to miniaturization with the problem of mobile it is proposed that a kind of reality is exercisable, easy-to-use Mobile terminal iris identification device and method.The present invention has designed and developed and can be used for mobile terminal, user-friendly a new generation Iris identification device and method, specifically, propose a kind of mobile terminal rainbow with active vision, tactile and sense of hearing interaction mechanism Film identifying device and method.
System survey
Fig. 1 shows and is known according to the mobile terminal iris with active vision, tactile and sense of hearing interaction mechanism of the present invention The block diagram of system of other device 100.This device 100 includes human-computer interaction module 110, multispectral iris image optically detecting mould Block 120, iris image analysis processing module 130, feedback control module 140 and supply module 150.
Specifically, described human-computer interaction module 110 be used for completing vision in iris image acquiring processing procedure, tactile and Multiple human-computer interaction function such as sense of hearing, so that user is configured to device 100 and is obtained the functions such as identification information.Described many Spectrum iris image optically detecting module 120 is used for realizing multispectral, auto-focusing iris image acquiring.Special iris figure As analysis and processing module 130 is used for the iris image collecting being analyzed process, and by result or instruction (as focused Control instruction, picture quality result etc.) it is delivered to feedback control module 140.Feedback control module 140 is used for dividing iris image The image analysis processing result that analysis processing module 130 obtains feeds back to multispectral iris image optically detecting module 120, and according to Rule set in advance carries out Intelligent adjustment to the imaging parameters of optically detecting module 120;Meanwhile, feedback control module 140 is gone back Image analysis processing result for obtaining image processing module 130 feeds back to human-computer interaction module 110, and according to setting in advance Fixed rule output is instructed and is fed back to use to user.Described supply module 150 is used for equipment is powered, example To realize such as by rechargeable battery.The equipment AC-less power being located in mobile terminal iris identification device 100 is powered In the case of, this supply module is powered for device 100.When equipment insertion AC power, this supply module can be filled Electricity.The detailed description of modules is described below with regard to accompanying drawing.
The each functions of modules of system describes in detail
Fig. 2 a further illustrates the composition frame chart of the human-computer interaction module 110 shown in Fig. 1.This human-computer interaction module 110 include possessing the display screen 111 of multi-point touch function, possess the microphone 112 of voice collecting function, have voice output work( The loudspeaker 113 of energy, the positioning indicator 114 for instruction state, range finder module 115 and input/output interface 116.Man-machine friendship Mutually module 110 is for completing multiple people such as the visual interactive in iris image acquiring processing procedure, haptic interaction and sense of hearing interaction Machine interactive function, thus instructing user to use iris authentication system, improves user-friendliness.Specifically, this human-computer interaction module 110 mainly implement function such as:
A) active vision feedback:By display screen, the information of the user of Real-time Collection is shown with video mode Come, thus the video that user can see according to oneself quickly adjusts to optimal acquisition position;
B) image processing and analyzing result shows:By display screen, the image matter that image processing algorithm analysis can be obtained Amount judged result (as clear, unintelligible, please away from) etc. information show in real time and utilize different colors or verbal feedback extremely User, thus user can perceive current acquisition state in real time;
C) control parameter input:By display screen 111, user can be configured it is also possible to right to the parameter of system Acquisition process process is fed back and is interacted.For example, by touch-screen, user can be by way of clicking on area-of-interest Specify the position needing focusing.Image processing algorithm can also obtain iris center by this area-of-interest of user input One rough estimate, realizes the function of iris image coarse positioning.Again for example, during registration, operating personnel (or user Oneself) can be selected by the image that touch-screen obtains to registration algorithm, such as click on screen representation and accept this image, streak Screen representation abandons this image.Again for example, by touch-screen, system can be controlled, for example, can be arranged by touch-screen Device parameter, input oneself ID card No. and password, equipment output result is confirmed etc..Preferably, described display Screen possesses multi-point touch function to realize more preferable user's manipulation.
D) phonetic entry:By built-in microphone 112, active human-computer interaction module 110 can receive user's input Voice command, and execute corresponding operation.
E) audio feedback:By having the loudspeaker 113 of voice output function, system can be by feedback command, image Reason analysis result, identification authentication result etc. feed back to user in the way of voice, improve the practical degree of convenience of user.For example, Can by image processing algorithm or range finder module analysis obtain customer location information (as " please away from a bit ", " please be close A bit ", " please keep " etc.) feed back to user, with auditory tone cues user's adjustment position.
F) indicate function:Described active human-computer interaction module 110 can also preferably comprise the state for instruction state Indicator 114, this positioning indicator 114 can be realized by sending the indicator lamp of particular color light, by instruction Lamp can by image analysis processing result, identification authentication result etc. with indicator lamp in the way of show.For example, the instruction of green Lamp can represent and is identified by, and the indicator lamp of redness can represent recognition failures.
G) distance measurement function:Described active human-computer interaction module 110 can realize distance measurement function further, works as real-time measurement Front user and the distance of iris optical imaging device, thus obtain optimal iris imaging effect.As shown in Figure 2 a, range finding mould Block 115 is made up of hardware range finder module 1151 and algorithm range finder module 1152.Wherein, hardware range finder module 1151 is red by launching Outer light or laser measure apart from d1 to user and mobile terminal iris identification device 100;Algorithm range finder module 1152 pass through to calculate the iris radius of collected iris image, by the distance of radius size estimated service life person and device d2.The estimated distance value of hardware range finder module 1151 and algorithm range finder module 1152 acquisition merges after filtering afterwards, is used The estimated distance D of person.Fusion formula is as follows:
D=0.5* (d1+d2) (1)
Fig. 2 b shows the calculating of estimated distance and uses flow chart.It comprises the following steps that:
Step S201:By hardware range finder module 1151 measure user and mobile terminal iris identification device 100 away from From d1;
Step S202:User is obtained with device apart from d2 by algorithm range finder module 1152;
Step S203:D1 and d2 obtaining in step S201 and step S202 is carried out fusion and obtains estimated distance D;
Step S204:Processed according to distance value point situation:If current distance (i.e. estimated distance D) is not mobile whole In effective acquisition range of end iris identification device, (effective acquisition range is designated as [D_min, D_max], wherein D_min, D_max Determine when determining in collection camera lens and CMOS.For different optical lens parameters, this parameter is probably change), Then in step S205, point out user's adjustment position by human-computer interaction module 110, such as away from, close, move left and right, then System carries out Resurvey, then the result collecting is entered row distance again through hardware range finder module and algorithm range finder module estimates Calculate, repeat above step S201-S204;If current distance is in effective acquisition range of mobile terminal iris identification device Interior, by voice or screen instruction prompting user " current location is suitable, please keep a period of time ", will currently estimate simultaneously It is transferred to automatic focusing module apart from D, provide initial focusing range for automatic focusing module.
Step S206:Run auto-focusing algorithm, after collecting the image that a width is focused, to image in step S207 Carry out Treatment Analysis, and transmit recognition result to human-computer interaction module 110 in step S208, feed back to user.
Fig. 3 a further illustrates the composition frame of the described multispectral iris image optically detecting module 120 shown in Fig. 1 Figure.As shown in Figure 3 a, described multispectral iris image optically detecting module 120 is by optical imagery module 121 and multispectral illumination Unit 122 forms.Wherein, optical imagery module 121 is by special image acquiring sensor 211, special iris capturing optics Camera lens 212, zoom motor 213 form, for realizing multispectral, auto-focusing iris image acquiring.This module both can be adopted It is used as front-facing camera and be placed on the front end of mobile device it is also possible to be placed on after mobile device as post-positioned pick-up head End.IMAQ distance is 5-30cm, more than effective depth of field 10cm.
Multispectral lighting unit 122 is arranged in a combination by the illuminating lamp of multiple different-wavebands, is used for sending some strength Light.Under the illumination of multispectral lighting unit 122, imaging modules 121 can obtain multispectral iris image.Multispectral photograph Bright system includes main light source 1221 and secondary light source 1222 again.Main light source 1221 is indispensable lighting unit, for example with wavelength Scope in the near-infrared illumination LED of 750-950nm, for gathering near infrared iris image;Secondary light source 1222 is optional Lighting unit, can be preferably other wavelength illumination lamps such as blue and green light, gold-tinted, visible ray, for gathering multispectral iris figure Picture.The multispectral iris image being gathered can be used for focusing position and judges the In vivo detection with iris image.Lighting unit 122 Locus arrangement method according to actual conditions flexible configuration, can on camera lens side, both sides are it is also possible in mobile lens Offside.Fig. 7-9 shows multispectral lighting unit in mobile computing device (such as mobile phone, panel computer, notebook computer) Optional location layout mode during enforcement, in being embodied as, the layout of multispectral lighting unit for example can select in figure to justify Fork () combination of any one or more in the position that marks, that is, in the frame surrounding of mobile computing device.
Optical imagery module 121 by image acquiring sensor 211 (such as CMOS, CCD), iris capturing optical lens 212, Motor 213 and multispectral optical filter 214 form.This module 121 can gather the iris image of user's right and left eyes simultaneously.Have two Plant implementation, one kind is to gather user using the imaging modules of single high-resolution (more than 5,000,000 pixels) simultaneously Iris of both eyes image, another kind is the iris figure gathering user's right and left eyes using the imaging modules of two low resolution respectively Picture.When using single high-resolution imaging module, the image acquiring sensor resolution ratio being adopted is not less than 3,000,000 pixels. Fig. 7, Fig. 8, Fig. 9 respectively illustrate optional position when optical imagery module is implemented in mobile phone, panel computer, notebook computer Layout type, can be assemblied in before equipment it is also possible to be assemblied in equipment back side.In figure, empty circles (zero) have marked employing Location layout mode during single imaging modules, solid circles (●) have marked using location layout side during two imaging modules Formula.
Preferably, when using two imaging modules, the distance between two imaging modules are between 6-7cm.
Preferably, the multispectral optical filter 214 that this optical imagery module 121 comprises is to make multispectral lighting unit The optical filter that the light of the light source included in 122 passes through can be a piece of optical filter comprising multiple spectrum composition it is also possible to It is made up of the optical filter of multi-disc single spectrum.
Preferably, this module has autozoom function, and wherein zoom function can be carried by image acquiring sensor Automatic focusing system complete it is also possible to by special iris image Focus value analysis method, motor 213 is controlled and Realize zoom function.
Especially, the present invention adopts a kind of auto-focusing control algolithm of iteration, first, collects image, and passes through rainbow Film image definition algorithm, obtain change zoom lens focal length after obtain a series of images definition description, when When to picture rich in detail, send a zoom lens registration signal, and think that focal length now is optimum focal length.
Fig. 3 b shows the implementation method of the autozoom function of optical imagery module 121.Specifically, as shown in Figure 3 b, Described given auto-focusing control system focus process is as follows:
Step S301:Input focusing position.By residing multi-point touch control display screen, manual putting touches (or mouse to user Click on) area-of-interest (i.e. focusing position).Described area-of-interest is to be with screen touch point (or mouse clicking point) The heart, the square with H as the length of side.Especially, the present invention supports 2 points of focal modes, and that is, user can click on the iris in screen The region of right and left eyes, realizes the entirety focusing to eyes imaging region.
Step S302:The range information obtaining currently used person is measured according to above-mentioned distance-measurement module, and root Obtain the scope [P of auto-focusing according to range informationmin,Pmax].As previously described, because having had learned that the distance of currently used person Information, in theory, if this range information is accurate, can uniquely determine that (i.e. optical lens arrives a focusing position The distance of sensor).But because this distance is estimated to obtain, it is inaccurate, has certain error, therefore, focusing position It is also uncertain, but within the scope of one, i.e. [Pmin,Pmax]);
Step S303:In the range of auto-focusing, gather the image of multiple focusings.Herein, a focusing corresponding Individual iris capturing optical lens 212 arrives the distance of image acquiring sensor 211.Motor control iris capturing optical lens 212 from PmaxP is moved to towards image acquiring sensor 211 with certain step-lengthminIt is assumed that step-length is A, then the position moved is [Pmin, Pmin+A,Pmin+2A,…,Pmax], and piece image is gathered on each position.
Step S304:By sharpness computation, obtain optimal focusing position:Calculate area-of-interest at each position Focus value, if the definition of each point is Fmin,Fmin+A,Fmin+2A,Fmin+3A,…,Fmax, and find highest definition Fbest Corresponding position, that is, optimal focusing position Pbest.Especially, when user inputs the focusing position of eyes, need a left side The definition of right eye area-of-interest carries out merging definition F obtaining final area-of-interestroi, concrete fusion method is:
Froi=(Fleft+Fright)/2
Wherein, FleftAnd FrightDefinition for right and left eyes area-of-interest.
Step S305:Obtain optimal focusing position PbestAfterwards, iris capturing optical lens 212 and image are adjusted by motor The relative position of collection sensor 211, imaging modules are adjusted to this optimal focusing position Pbest.
Step S306:Optimal focusing according to obtaining updates the focusing range in next round focus process.Obtain current Definition highest focusing corresponding focusing position Pbest, and update minimax focusing model during position adjustment next time Enclose, and step-length is adjusted to A '=0.2A.I.e.
Pmax=Pbest+2A’,
Pmin=Pbest–2A’
As it was previously stated, this method is the method for an iteration, after each iteration, focusing range is gradually reduced.
Step S307:Repeat step S303 to step S306, until in front and back adjacent move twice after the F obtainingbestDifference Different less than certain threshold value, such as 5%.
Especially, in order to improve the processing speed of system, iterations herein and its threshold value of convergence can be according to realities Border application scenarios are different and flexibly arrange, the minimum number of times of iteration is 1, the most very much not should exceed 3 times.
Especially, in order to improve adaptivity under different photoenvironments for the system, described definition of iris image is calculated Method, on the basis of conventional iris image definition algorithm, has merged the saturation infromation of image, specifically, if image is full With spend height, then to image definition calculated value increase a penalty term, such as 10% punishment;If the saturation of image is spent Low, then a gain term, such as 10% gain are increased to image definition calculated value.
Fig. 4 a shows the composition frame chart of described special iris image analysis processing module 130.This module is by special Iris image processing module 131, image processor 132 and memory 133 form.Iris image analysis processing module 130 is used for The iris image collecting is analyzed process, such as Quality estimation, auto-focusing calculate, feature extraction and than reciprocity function. Image processor and memory can run iris image Treatment Analysis and process.Both can be directly using shifting in image processing process Moving platform (include smart mobile phone, notebook computer, panel computer) in existing computing unit (such as notebook computer Arm processor in Intel processor or smart mobile phone) realizing the function of graphics processing unit it is also possible to separately configure specially Carrying out above-mentioned image procossing, these different modes broadly fall into the present invention's to the graphic process unit (such as ARM, DSP etc.) of door Spirit and essential scope.
Fig. 4 b shows the workflow of the iris image analysis processing module 130 in Fig. 4 a.As shown in Figure 4 b, described The process that iris image processing module 131 is carried out mainly includes iris image quality analysis, iris preprocessing, iris image In vivo detection, iris image feature coding and iris image feature templates compare five parts.
In step S401, iris image is gathered by multispectral iris image optically detecting module 120.
In step S402, by iris image quality analysis module, the iris image of acquisition is analyzed processing, and Audio visual interaction feedback system feedback is passed through to user according to the Quality estimation result that obtains of analysis, be used for instructing user's positioning or Person is used for iris image acquiring unit reasonably being configured and controlling.Specifically, when iris image quality analysis module is sentenced Break iris image off quality when, can by audio visual interaction feedback system feedback to user's Resurvey instruction, To instruct user's Resurvey iris, till the quality of iris image is reasonable.
Then in step S403, up-to-standard iris image is pre-processed.First sub-steps are that iris is slightly fixed Position, in this step, Primary Location iris Position Approximate in the picture, if can't detect suitable iris image, need Return to step S401 prompting user's Resurvey iris image.User carrys out adjustment position according to prompting, and eye alignment is shot Camera.If the position of iris is detected, carrying out the second sub-steps and iris segmentation is carried out to image, obtaining iris Exradius, and the big mere suggestion user's adjustment position according to obtained exradius, such as too big, then prompting user away from From a little further, if too little, point out user near a bit.Meanwhile, the position in the picture according to eyes, carries to user Show, if too inclined, point out the suitable shift position of user.Additionally, pretreatment module also includes positioning eyelid, eyelashes of image etc. Occlusion area.After segmentation obtains iris effective coverage, under the 3rd sub-steps, iris image normalization is carried out to image, that is, Based on iris inside and outside circle positioning result, carry out rectangular co-ordinate to polar conversion, by the original iris image under rectangular co-ordinate Normalize to the rectangular area of a fixation under polar coordinates.
Then, in step S404, In vivo detection is carried out to iris image.Run iris image In vivo detection algorithm, judge to work as Before the iris image that collects whether from the eyes of live body, rather than from counterfeit, such as glass eyeball, print iris and shine Piece, iris video, U.S. pupil etc..Come from the iris image of counterfeit when present image is detected, then enter step S405 Prompting or report to the police, thus avoiding system to be subject to the attack of counterfeit it is ensured that the security of iris authentication system.Especially, institute The iris image In vivo detection algorithm stated is analyzed based on multispectral image, and multispectral image comprises visible images, closely red Outer image and blue light images or green light image (or optical imagery of its all band), processing method used is texture analysis And algorithm for pattern recognition, texture analysis method including but not limited to local binary patterns feature, Gabor textural characteristics etc., pattern Recognition methods includes but is not limited to SVMs, Adaboost, neutral net scheduling algorithm.
If judging, presented iris image is derived from live body, enters step S406 and carries out iris feature extraction and coding.Returning One changes extraction iris texture characteristic code (as traditional binary Gabor phase code, sequencing condition code etc.) on image, is worked as The iris feature template of front image.
Then, carry out iris feature template matching in step S 407.By prestoring in this feature code and registry Registration feature code in iris feature template database carries out the comparison clearing of Hamming distance (Hamming Distance), and Identification authentication result is drawn according to alignment score, thus verifying to the identity of currently used person.If authentication failed, enter To step S405, checking end or warning;If being proved to be successful, method terminates.
Especially, described iris image compares and can complete in described mobile terminal iris identification device, also may be used To complete in remote server, described remote server includes the data processing server at individual data center, also may be used To be analogous to store virtual server beyond the clouds.When comparing in the machine, registration feature should be previously stored in the machine Memory cell in or be downloaded in advance the memory cell of the machine by network.When comparing in remote server, The iris image collecting completes iris image quality analysis, iris preprocessing, monitored in vivo and feature coding in the machine Process, only transmits the iris feature being drawn into code to remote server, after server end completes to compare, by recognition result Or follow-up result is transmitted to the machine.
Especially, for the security of guarantee information processing system, under carrying out remote server mode of operation, described Feature masterplate also need to check hardware identity (ID) information of described mobile terminal device, such as the state in smart mobile phone application Border IMSI (IMSI), hard disk serial number of panel computer or notebook computer etc. can uniquely indicate this movement The information of terminal.
Especially, image recognition processes support Real time identification pattern and non real-time recognition mode.Under Real time identification pattern, System is processed, encoded and is compared to every piece image, is identified result.Under non-real-time mode, system gathers first Iris image in the range of certain time, then therefrom selects 1-3 up-to-standard image, and is identified comparing.
User uses the process of apparatus of the present invention
User is known using the mobile terminal iris with active vision, tactile and sense of hearing interaction mechanism of the present invention The implementation that other device 100 carries out authentication is as follows:
A) user is brought into operation by clicking on the iris capturing processing system software in startup mobile terminal;
B) under conditions of radiation of visible light, system starts to gather iris image.In the process, need user suitable Adjusting position so that iris optical imaging device can collect eyes or the image of at least eyes;
C) user clicks on the area-of-interest needing to focus on;
D) system passes through range finder module or image analysis algorithm obtains the distance range of currently used person and device;
E), after obtaining area-of-interest position and distance range, device starts near-infrared illuminator, and starts to gather one The near-infrared iris image of the different focal position of group.Herein, different focal positions are by the configuration to iris optical imagery module Realize;
F) image acquisition and processing module carries out Treatment Analysis to the image sequence collecting, and calculates each image region of interest The mass fraction in domain, and optimal focal position is obtained based on mass fraction;
G) optical imagery module is configured to this best focus position, the mark that display image is aligned on the display screen simultaneously (as the check mark of green).The mark of described image be aligned can also be realized by other instruction equipments on mobile terminal, if Send the indicator lamp of particular color light;
H) optical imagery module gathers several near-infrared iris images near this focal position;
I) image analysis processing module is processed based on the image that h step collects, and obtains mass fraction highest three Width image, carries out feature extraction and coding to it;
J) feature coding of three width optimized images described in and the condition code of registration in advance are compared, and obtain authentication Result.Herein, the iris feature code of registration in advance can be stored in locally it is also possible to be stored on the server of far-end.If It is the former, comparison process locally completes in mobile terminal;If the latter, comparison process completes in the server of far-end.
K) comparison result is processed.If comparing unsuccessfully, this time ID authentication request of refusal user, and answer specific With middle startup warning device;If compared successfully, by using this time ID authentication request of person, and it is allowed to carry out subsequently Operation.
Especially, above-mentioned using method can adopt forward type, it would however also be possible to employ rear-mounted, that is, harvester is arranged on hand Machine front portion or back.
Especially, the click described in above-mentioned steps may refer to mouse click it is also possible to refer to finger or hand-written style of writing Touch.Especially, when optical pickup collects binocular images, described area-of-interest refers to iris and the lesser ring of Merkel of eyes Domain;When only optical pickup only collects eyes, eyes that described area-of-interest refers to currently to be collected Iris and pupil position.
Application Example
Embodiment 1:There is the mobile terminal iris identification device of active vision, tactile and sense of hearing interaction mechanism and method exists Application in smart mobile phone.
The composite can be widely applied in smart mobile phone, need the scene of authentication and identification, such as individual privacy is protected Shield, online payment, mobile-phone payment etc..Fig. 5 shows device of the present invention in one of mobile phone implementation.Wherein, light Learn imaging modules 121 and adopt 8,000,000 pixel near-infrared mobile phone imaging modules, multispectral lighting unit 122 adopts 750-850 nanometer Near-infrared LED and wavelength 480-550 nanometer green LED composition.Multi-point touch control display screen 111 adopts the display of smart mobile phone Screen.Primary processor and controller that iris image analysis processing module 130 and feedback control module 140 are carried using smart mobile phone Composition.Supply module 150 carries lithium battery using smart mobile phone.
The smart mobile phone having installed iris identification device of the present invention additional can be widely applied to individual privacy protection, props up on the net Pay, mobile-phone payment etc..For example, smart phone user Mr. Zhang will enter to the individual privacy information being stored on oneself smart mobile phone Row accesses, and these information Stores are in a specific file.These files pass through to be arranged to run on intelligent hand in advance Iris recognition monitoring of software in machine is associated.When Mr. Zhang needs to access individual privacy information, iris recognition monitoring of software Automatically begin to run, and point out Mr. Zhang to watch iris optical imagery module attentively by speech synthesizer 113 and multi-point touch panel 111 121.Now, multispectral iris image optically detecting module is started working, and collects a width by steps such as autozooms and open The iris image of Mr..Through the process of special iris image analysis module 130, obtain the iris feature code of Mr. Zhang, and will Condition code is compared with the feature templates being previously stored on smart mobile phone.If comparing successfully, Mr. Zhang can access The individual privacy information of oneself;If comparing unsuccessfully, system refuses the access request of Mr. Zhang.Meanwhile, set by necessary Put, this visit information can also be sent in other phone numbers that Mr. Zhang specifies in the form of note.So that it is guaranteed that The safety of Mr. Zhang's individual privacy information.
Embodiment 2:There is the mobile terminal iris identification device of active vision, tactile and sense of hearing interaction mechanism and method exists Application in panel computer.
The composite can be widely applied in panel computer, need the scene of authentication and identification, such as individual privacy is protected Shield, online payment, internet account login etc..Fig. 6 shows device of the present invention in one of panel computer realization side Formula.Wherein, optical imagery module 121 adopts two 2,000,000 pixel near-infrared mobile phone imaging modules, multispectral lighting unit 122 Using the near-infrared LED of 750-850 nanometer and the yellow led composition of wavelength 55-600 nanometer.Multi-point touch control display screen 111 adopts The display screen of panel computer.The master that iris image analysis processing module 30 and feedback control module 140 are carried using panel computer Processor and controller composition.Supply module 50 carries lithium battery using panel computer.
The panel computer having installed iris identification device of the present invention additional can be widely applied to individual privacy protection, props up on the net Pay etc..For example, online payment is needed to transfer accounts during smart phone user Mr. Zhang shopping online.Mr. Zhang, when Mr. Zhang needs During online payment, iris recognition monitoring of software automatically begins to run, and is carried by speech synthesizer 113 and multi-point touch panel 111 Show that Mr. Zhang watches iris optical imagery module 121 attentively.Now, multispectral iris image optically detecting module is started working, and leads to Cross the iris image that the steps such as autozoom collect a width Mr. Zhang.Through the process of special iris image analysis module 130, Obtain the iris feature code of Mr. Zhang, and condition code is compared with the feature templates being previously stored in remote server. If comparing successfully, Mr. Zhang can complete payment process;If comparing unsuccessfully, the payment that system refuses Mr. Zhang please Ask.Meanwhile, by necessary setting, this visit information can also be sent to the mobile phone that Mr. Zhang specifies in the form of note In number.Ensure that the safety of Mr. Zhang's online payment.
Embodiment 3:There is the mobile terminal iris identification device of active vision, tactile and sense of hearing interaction mechanism and method exists Application in notebook computer.This application mode is similar with embodiment 1,2, will not be described here.
The above, the only specific embodiment in the present invention, but protection scope of the present invention is not limited thereto, and appoints What be familiar with the people of this technology disclosed herein technical scope in it will be appreciated that the conversion expected or replacement, all should cover Within the scope of the comprising of the present invention, therefore, protection scope of the present invention should be defined by the protection domain of claims.In conjunction with The explanation of the present invention disclosing here and practice, the other embodiment of the present invention is all apparent for those skilled in the art 's.Illustrate and embodiment is to be considered only as exemplary, the true scope of the present invention and purport are all defined in the claims.

Claims (16)

1. a kind of mobile terminal iris identification device with human-computer interaction mechanism, described device includes human-computer interaction module, many Spectrum iris image optically detecting module, iris image analysis processing module, feedback control module and supply module, wherein
Described human-computer interaction module is used for making user in iris image acquiring processing procedure, described mobile terminal iris be known Other device is configured and is realized human-computer interaction function with described device;
Described multispectral iris image optically detecting module includes the optical imagery module containing multispectral optical filter and multispectral Lighting unit, for gathering the iris image of user and passing to described iris image analysis processing module and processed;
Described iris image analysis processing module includes iris image processing module, image processor and memory, for institute State the iris image collecting to be analyzed processing, and result or instruction are delivered to described feedback control module;
The result that described feedback control module is used for processing iris image analysis processing module feeds back to described multispectral iris Imagery optical acquisition module, to be adjusted to the imaging parameters of described multispectral iris image optically detecting module, also will The result that iris image analysis processing module is processed feeds back to described human-computer interaction module, so that the use to user refers to Lead;And
Described supply module is used for described device is powered;
Wherein, for the zoom side of the optical imagery module of the described mobile terminal iris identification device with human-computer interaction mechanism Method comprises the steps:
A) user passes through described human-computer interaction module input region of interest;
B) determine focusing range by measuring user with the distance of described mobile terminal iris identification device;
C) in the range of auto-focusing pass through optical imagery module described in motor control in iris capturing optical lens described Move to gather the image of focusing at each step-length position towards image acquiring sensor with certain step-length in focusing range And a focusing corresponds to an iris capturing optical lens to the distance of image acquiring sensor;
D) carry out sharpness computation and obtain optimal focusing position, and described optical imagery module is adjusted to described optimal right Burnt position;
Wherein, described sharpness computation has merged the saturation infromation of image:If the saturation degree of image is too high, clear to image Clear degree calculated value increases a penalty term;If the saturation degree of image is too low, image definition calculated value is increased with an increasing Beneficial item;
E) update focusing range, repeat step a) d), is less than certain threshold value up to adjacent result of calculation twice.
2. device as claimed in claim 1, wherein said human-computer interaction function is selected from visual interactive, haptic interaction and the sense of hearing and hands over One or more of mutually.
3. device as claimed in claim 1, wherein said human-computer interaction module includes display screen, microphone, loudspeaker, state Indicator, range finder module and input/output interface.
4. device as claimed in claim 3, wherein said display screen is touch-screen, and user passes through to click on described touch-screen The position needing focusing is specified in region interested.
5. device as claimed in claim 3, wherein said range finder module is included by launching infrared light or laser to use The hardware range finder module that first distance of person and described mobile terminal iris identification device measures, and gathered by calculating The iris radius of the iris image arriving, by radius size estimated service life person and the second of described mobile terminal iris identification device The algorithm range finder module of distance.
6. device as claimed in claim 5, found range by the following method by step for wherein said range finder module:
A) first distance of user and described mobile terminal iris identification device is measured by hardware range finder module;
B) second distance of user and described mobile terminal iris identification device is obtained by algorithm range finder module;
C) described first distance and second distance are carried out fusion and obtain estimated distance;
If d) described estimated distance is not in effective acquisition range of described mobile terminal iris identification device, pass through described people Machine interactive module point out user's adjustment position, then Resurvey, repeat step a) d), until being in described mobile terminal rainbow Till in effective acquisition range of film identifying device;If described estimated distance is in having of described mobile terminal iris identification device In effect acquisition range, then described estimated distance is transferred to automatic focusing module and carries out auto-focusing and carry out image procossing and divide Analysis.
7. device as claimed in claim 1, wherein said optical imagery module is by image acquiring sensor, iris capturing optics Camera lens, motor and multispectral optical filter composition.
8. device as claimed in claim 1, wherein said multispectral lighting unit comprises launch wavelength in 750-850 nanometer The main light source of near infrared light.
9. device as claimed in claim 1, wherein said multispectral lighting unit comprises to launch the secondary light source of visible ray, uses In the multispectral iris image of collection.
10. device as claimed in claim 1, wherein adopt single described optical imagery module or two distances 6-7cm it Between described optical imagery module gather simultaneously user eyes iris image.
11. devices as claimed in claim 1, wherein said mobile terminal iris identification device is integrated in mobile phone, panel computer Or in notebook computer, and it is assemblied in before it or the back side.
12. devices as claimed in claim 1, when user inputs the right of eyes wherein in the step d) of described Zooming method During burnt position, need to carry out according to the following formula merging by the definition of right and left eyes area-of-interest obtaining final area-of-interest Definition:
Froi=(Fleft+Fright)/2
Wherein, FleftAnd FrightFor the definition of right and left eyes area-of-interest, FroiDefinition for final area-of-interest.
13. devices as claimed in claim 1, adjacent calculating knot twice wherein described in the step e) of described Zooming method Fruit difference is less than 5%.
A kind of 14. iris image analysis processing methods for the mobile terminal iris identification device described in claim 1, described Mobile terminal iris identification device includes human-computer interaction module, multispectral iris image optically detecting module, iris image analysis Processing module, feedback control module and supply module, methods described comprises the steps:
A) will be analyzed processing by the iris image quality that described multispectral iris image optically detecting module collects, and Feed back to user according to the Quality estimation result that analysis obtains to be adjusted, till the iris image quality of collection is qualified;
B) up-to-standard iris image is carried out with iris coarse positioning, iris segmentation and the normalized pre- place of iris image Reason;
C) iris image is carried out with In vivo detection and feature extraction and coding are carried out to the iris of described live body, obtain described live body Iris feature template;
D) read the registration feature code being stored in advance in iris feature template database;
E) the iris feature template of described live body is compared with the registration feature code reading.
15. methods as claimed in claim 14, wherein said step e) completes in described mobile terminal iris identification device, Or complete in remote server.
16. methods as claimed in claim 15, wherein under described remote server mode of operation, feature masterplate needs to check The hardware identity information of described mobile terminal iris identification device.
CN201310048005.7A 2013-02-06 2013-02-06 Mobile terminal iris recognition device with human-computer interaction mechanism Active CN103106401B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310048005.7A CN103106401B (en) 2013-02-06 2013-02-06 Mobile terminal iris recognition device with human-computer interaction mechanism

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310048005.7A CN103106401B (en) 2013-02-06 2013-02-06 Mobile terminal iris recognition device with human-computer interaction mechanism

Publications (2)

Publication Number Publication Date
CN103106401A CN103106401A (en) 2013-05-15
CN103106401B true CN103106401B (en) 2017-02-22

Family

ID=48314250

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310048005.7A Active CN103106401B (en) 2013-02-06 2013-02-06 Mobile terminal iris recognition device with human-computer interaction mechanism

Country Status (1)

Country Link
CN (1) CN103106401B (en)

Families Citing this family (39)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103593647A (en) * 2013-10-21 2014-02-19 王晓鹏 Biological characteristic imaging method and equipment
CN103839054B (en) * 2014-03-14 2017-05-24 北京中科虹霸科技有限公司 Multi-functional mobile intelligent terminal sensor supporting iris recognition
WO2015113479A1 (en) * 2014-01-28 2015-08-06 北京中科虹霸科技有限公司 Mobile terminal iris recognition method and device having human-computer interaction mechanism
US9928422B2 (en) * 2014-10-15 2018-03-27 Samsung Electronics Co., Ltd. User terminal apparatus and IRIS recognition method thereof
CN104252622A (en) * 2014-10-15 2014-12-31 倪蔚民 Mobile terminal front-mounting and iris identification integration photoelectric imaging system and method
CN105354557B (en) * 2014-11-03 2019-04-16 苏州思源科安信息技术有限公司 A kind of bio-identification forgery proofing biopsy method
CN106599657B (en) * 2015-04-11 2020-09-01 苏州思源科安信息技术有限公司 Dynamic detection and feedback method for mobile terminal biological characteristic recognition
CN104933419B (en) * 2015-06-30 2019-05-21 小米科技有限责任公司 The method, apparatus and red film for obtaining iris image identify equipment
CN105574481B (en) * 2015-07-31 2019-08-02 宇龙计算机通信科技(深圳)有限公司 A kind of iris image recognition methods and user equipment
CN105119723A (en) * 2015-09-15 2015-12-02 重庆智韬信息技术中心 Identity authentication and authorization method based on human eye recognition
US10049272B2 (en) * 2015-09-24 2018-08-14 Microsoft Technology Licensing, Llc User authentication using multiple capture techniques
CN105335720B (en) * 2015-10-28 2018-02-16 广东欧珀移动通信有限公司 The acquisition method and acquisition system of iris information
CN106682663A (en) * 2015-11-11 2017-05-17 天津中科智能识别产业技术研究院有限公司 Multi-modal biological feature identifying system and method for mobile platform
CN106682662A (en) * 2015-11-11 2017-05-17 天津中科智能识别产业技术研究院有限公司 Multimodal biometric feature recognition module and method for mobile terminal
CN105654040B (en) * 2015-12-24 2020-01-03 华为技术有限公司 Distance measurement method based on iris and mobile terminal
CN107408195B (en) * 2015-12-29 2020-06-23 厦门中控智慧信息技术有限公司 Iris identification method and device
CN106022275A (en) * 2016-05-26 2016-10-12 青岛海信移动通信技术股份有限公司 Iris recognition method and apparatus, and mobile terminal
CN106056371A (en) * 2016-05-26 2016-10-26 柳州治业科技有限公司 Remote trusted payment method
CN106295578A (en) * 2016-08-12 2017-01-04 合肥虹视信息工程有限公司 A kind of iris identification device of high integration
CN106127477A (en) * 2016-08-19 2016-11-16 深圳市前海领创智能科技有限公司 A kind of novel iris intelligence mobile phone with payment function
CN106295626B (en) * 2016-09-27 2024-02-02 普瑞斯康(北京)健康管理有限公司 Iris lens, iris photographing device and iris analysis method
CN106506953A (en) * 2016-10-28 2017-03-15 山东鲁能智能技术有限公司 The substation equipment image acquisition method of servo is focused on and is exposed based on designated area
KR102627244B1 (en) 2016-11-30 2024-01-22 삼성전자주식회사 Electronic device and method for displaying image for iris recognition in electronic device
CN107179827A (en) * 2017-04-01 2017-09-19 深圳怡化电脑股份有限公司 The intelligent interactive method and system of a kind of finance device
CN108875468B (en) * 2017-06-12 2022-03-01 北京旷视科技有限公司 Living body detection method, living body detection system, and storage medium
CN107391694A (en) * 2017-07-26 2017-11-24 沈丽娜 A kind of data digging system and method
CN107480659A (en) * 2017-09-21 2017-12-15 深圳普创天信科技发展有限公司 A kind of iris identification device and terminal
CN108268839A (en) * 2018-01-05 2018-07-10 北京万相融通科技股份有限公司 A kind of live body verification method and its system
CN108388858B (en) * 2018-02-11 2020-05-01 京东数字科技控股有限公司 Iris anti-fake method and device
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
CN108960153A (en) * 2018-07-06 2018-12-07 深圳虹识技术有限公司 A kind of method and apparatus of adaptive iris recognition
JP2020038491A (en) * 2018-09-04 2020-03-12 株式会社東海理化電機製作所 Biological information authentication device
CN109344756A (en) * 2018-09-22 2019-02-15 深圳市欧耐德科技有限公司 Iris recognition display device and method
CN109376669A (en) * 2018-10-30 2019-02-22 南昌努比亚技术有限公司 Control method, mobile terminal and the computer readable storage medium of intelligent assistant
CN109542240B (en) * 2019-02-01 2020-07-10 京东方科技集团股份有限公司 Eyeball tracking device and method
CN111027464B (en) * 2019-12-09 2023-07-18 大连理工大学 Iris recognition method for jointly optimizing convolutional neural network and sequence feature coding
CN111160534A (en) * 2019-12-31 2020-05-15 中山大学 Binary neural network forward propagation frame suitable for mobile terminal
TWI750604B (en) * 2020-03-06 2021-12-21 南臺學校財團法人南臺科技大學 Photoelectric identity recognition system
CN111553384A (en) * 2020-04-03 2020-08-18 上海聚虹光电科技有限公司 Matching method of multispectral image and single-spectral image

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1892676A (en) * 2005-06-03 2007-01-10 沈洪泉 Apparatus and method for face/iris combination optical imagine
CN1940959A (en) * 2005-09-29 2007-04-04 上海乐金广电电子有限公司 Portable iris discriminating system and method
CN101681228A (en) * 2007-04-25 2010-03-24 霍尼韦尔国际公司 A biometric data collection system
CN102799878A (en) * 2012-07-09 2012-11-28 中国科学技术大学 Iris face fusion acquisition device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1892676A (en) * 2005-06-03 2007-01-10 沈洪泉 Apparatus and method for face/iris combination optical imagine
CN1940959A (en) * 2005-09-29 2007-04-04 上海乐金广电电子有限公司 Portable iris discriminating system and method
CN101681228A (en) * 2007-04-25 2010-03-24 霍尼韦尔国际公司 A biometric data collection system
CN102799878A (en) * 2012-07-09 2012-11-28 中国科学技术大学 Iris face fusion acquisition device

Also Published As

Publication number Publication date
CN103106401A (en) 2013-05-15

Similar Documents

Publication Publication Date Title
CN103106401B (en) Mobile terminal iris recognition device with human-computer interaction mechanism
CN107609383B (en) 3D face identity authentication method and device
US9798927B2 (en) Mobile terminal iris recognition method and device having human-computer interaction mechanism
CN107748869B (en) 3D face identity authentication method and device
CN107633165B (en) 3D face identity authentication method and device
CN106056092B (en) The gaze estimation method for headset equipment based on iris and pupil
CN105554385B (en) A kind of remote multi-modal biological characteristic recognition methods and its system
CN104956377B (en) For acquiring the device of special messenger's data
CN203733133U (en) Mobile terminal iris recognition device with man-machine interaction mechanism
CN103383723B (en) Method and system for spoof detection for biometric authentication
JP3562970B2 (en) Biological identification device
US8514277B2 (en) Video infrared retinal image scanner
WO2020125499A1 (en) Operation prompting method and glasses
WO2018161289A1 (en) Depth-based control method, depth-based control device and electronic device
CN104933344A (en) Mobile terminal user identity authentication device and method based on multiple biological feature modals
CN108363482A (en) A method of the three-dimension gesture based on binocular structure light controls smart television
KR20130107981A (en) Device and method for tracking sight line
CN105022999A (en) Man code company real-time acquisition system
KR20190119212A (en) System for performing virtual fitting using artificial neural network, method thereof and computer recordable medium storing program to perform the method
CN108197549A (en) Face identification method and terminal based on 3D imagings
CN109255282A (en) A kind of biometric discrimination method, device and system
CN106599779A (en) Human ear recognition method
CN112651270A (en) Gaze information determination method and apparatus, terminal device and display object
KR102039164B1 (en) Apparatus for performing virtual fitting using multi-level artificial neural network, method thereof and computer recordable medium storing program to perform the method
CN106557738A (en) A kind of long-distance iris identification device

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
CB03 Change of inventor or designer information
CB03 Change of inventor or designer information

Inventor after: He Zhaofeng

Inventor after: Wang Zhanliang

Inventor after: Qiu Xianchao

Inventor after: Ma Li

Inventor before: He Zhaofeng

Inventor before: Wang Zhanliang

Inventor before: Qiu Xianchao

Inventor before: Ma Li