CN106022283A - Biometric identification method, biometric identification device and identification equipment - Google Patents

Biometric identification method, biometric identification device and identification equipment Download PDF

Info

Publication number
CN106022283A
CN106022283A CN201610366341.XA CN201610366341A CN106022283A CN 106022283 A CN106022283 A CN 106022283A CN 201610366341 A CN201610366341 A CN 201610366341A CN 106022283 A CN106022283 A CN 106022283A
Authority
CN
China
Prior art keywords
information
identified
eyeball
image
reflection
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.)
Pending
Application number
CN201610366341.XA
Other languages
Chinese (zh)
Inventor
李闯
林峰
张行
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.)
BEIJING ZHONGJINGUOXIN TECHNOLOGY Co Ltd
Original Assignee
BEIJING ZHONGJINGUOXIN TECHNOLOGY Co Ltd
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 BEIJING ZHONGJINGUOXIN TECHNOLOGY Co Ltd filed Critical BEIJING ZHONGJINGUOXIN TECHNOLOGY Co Ltd
Priority to CN201610366341.XA priority Critical patent/CN106022283A/en
Publication of CN106022283A publication Critical patent/CN106022283A/en
Pending legal-status Critical Current

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
    • G06V40/197Matching; Classification
    • 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
    • G06V40/40Spoof detection, e.g. liveness detection
    • G06V40/45Detection of the body part being alive

Abstract

The invention provides a biometric identification method, a biometric identification device and identification equipment, wherein the biometric identification method is applied on the identification equipment and comprises the steps of acquiring an eyeball image of a to-be-identified object, and an environment image of the current image to which the to-be-identified object is oriented; determining whether reflected light-and-dark information of the to-be-identified object in the eyeball image for aiming at the current environment matches the actual light-and-dark information in the environment image, and if yes, judging the to-be-identified object as an organism. The biometric identification method, the biometric identification device and the identification equipment can improve accuracy and safety of the biometric identification method.

Description

Biometric discrimination method, device and the equipment of identification
Technical field
The application relates to mode identification technology, particularly to a kind of biometric discrimination method, device and Identification equipment.
Background technology
Living things feature recognition is the conventional art means of authentication, and Face datection, iris identification are Wherein conventional technological means.No matter it is to use mobile phone or special biological detection equipment, biological Health check-up survey is all necessary step, and detection equipment needs to confirm to detect liking Human in Vivo, and not It is photo, video recording, model etc..
Summary of the invention
But inventor finds in research process, prior art carries out living body detection, is to allow Detection object carries out blinking according to instruction, open one's mouth or the action such as new line, then according to detection object Reflection detects whether it is organism.But this mode is because of the simplicity of combinative movement, institute Even if can also disguise oneself as in the way of using video-splicing organism by sometimes inorganic matter so that Accuracy rate and the safety of detection are relatively low.And for for organism such as user, owing to user needs Want matched orders so Consumer's Experience is the most bad.
Based on this, this application provides a kind of biometric discrimination method, raw in order to solve in prior art The accuracy rate of object identification method and the most relatively low problem of safety.
Present invention also provides a kind of biological identification device and identification equipment, in order to ensure that said method exists Realization in reality and application.
In order to solve the problems referred to above, this application discloses a kind of biometric discrimination method, the method is applied to On identification equipment, including:
Obtain object to be identified eyeball image, and, described object to be identified towards current environment Ambient image;
Judge the reflection light and shade information for current environment of the object to be identified described in described eyeball image, Whether mate with the actual light and shade information in described ambient image, if it is, wait described in determining to know Other object is organism.
The embodiment of the present application also discloses a kind of biological identification device, and this device is integrated in identification equipment On, this device includes:
Obtain image module, for obtaining the eyeball image of object to be identified, and, described to be identified Object towards the ambient image of current environment;
Judge module, for judging that described in described eyeball image, object to be identified is for current environment Whether reflection light and shade information, mate with the actual light and shade information in described ambient image;
Determine module, in the case of in the result of described judge module for being, determine described in wait to know Other object is organism.
The embodiment of the present application also discloses a kind of identification equipment, and this identification equipment can include aforesaid Anticipate one and identify device.
Compared with prior art, the embodiment of the present application includes advantages below:
In the embodiment of the present application, by pupil in the eyeball image to object to be identified to current real The extraction of the refraction information of border environment and judgement, can judge that an object to be identified is exactly No for organism, it is achieved that organism identification accurately, improve the efficiency of organism identification.Enter And, pass through again the object determining organism sends certification request when, moreover it is possible to improve network The safety that data process.
Certainly, the arbitrary product implementing the application it is not absolutely required to reach all the above simultaneously Advantage.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present application, embodiment will be described below The accompanying drawing used required in is briefly described, it should be apparent that, the accompanying drawing in describing below is only It is only some embodiments of the application, for those of ordinary skill in the art, is not paying wound On the premise of the property made is laborious, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the flow chart of the biometric discrimination method embodiment of the application;
Fig. 2 is the structured flowchart of the biological identification device embodiment of the application.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present application, to the technical scheme in the embodiment of the present application It is clearly and completely described, it is clear that described embodiment is only that the application part is real Execute example rather than whole embodiments.Based on the embodiment in the application, ordinary skill The every other embodiment that personnel are obtained under not making creative work premise, broadly falls into this The scope of application protection.
With reference to Fig. 1, it is shown that the flow chart of the application a kind of biometric discrimination method embodiment, this enforcement Example can apply on identification device integrated in identification equipment, and the present embodiment can include following step Rapid:
Step 101: obtain object to be identified eyeball image, and, described object to be identified towards The ambient image of current environment.
In the embodiment of the present application, object to be identified can be organism, it is also possible to be inorganic matter, The method using the embodiment of the present application can finally determine that object to be identified is organism, such as people Class etc., or inorganic matter, such as, anthropometric dummy etc..Concrete, can first get and wait to know The eyeball image of other object, this eyeball image includes the environment that the eyes of object to be identified are seen Information.The actual environment information of the current environment that object to be identified is seen can also be got, should Actual environment information is included in ambient image.Wherein, eyeball image and ambient image can be by non- Other equipment of identification equipment get, and send the identification device in identification equipment to.
Certainly, it is assumed that identification equipment itself is provided with front-facing camera and post-positioned pick-up head, it is also possible to by Identification equipment controls the two and takes pictures or record a video, thus also can get eyeball image and ring Border image.In this case, this step specifically may include that
Step A1: obtain object to be identified from the multimedia messages that described front-facing camera shoots Eyeball image.
Opening the front-facing camera installed in identification equipment in advance, the eyes of alignment object to be identified are carried out Take pictures or record a video, obtain the multimedia of the eyeball about object to be identified of front-facing camera shooting Information, and then from this multimedia messages, get the eyeball image of object to be identified.Such as, as Fruit be take pictures if, directly intercept the eyeball image including eyeball in photo, and if If video recording, then can intercept the two field picture in video, and then intercept this two field picture again and include The eyeball image of eyeball.
Step A2: obtain object to be identified court from the multimedia messages that described post-positioned pick-up head shoots To ambient image.
In the case of the front-facing camera of the equipment of identification is directed at the eyes to identification object, rearmounted shooting Head open can shoot afterwards object to be identified towards the photo of actual environment or video recording.So Same principle, is truncated to ambient image from the photo or video of post-positioned pick-up head shooting.
Step 102: judge that described in described eyeball image, object to be identified is for the reflection of current environment Whether light and shade information, mate, if it is, enter with the actual light and shade information in described ambient image Enter step 103.
If object to be identified is organism, then the light and shade distribution of the environment that its eyes are seen is with actual The light and shade distribution of environment is consistent.Such as, in actual environment position according to actual light source or Intensity, actual environment can present the light and shade distribution of certain rule, then, wait to know in eyeball image Inverted image image to actual environment in the pupil of other object, also should present as actual environment The light and shade regularity of distribution.
Therefore, in actual application, this step specifically may include that
Step B1: extract anti-for current environment of described object to be identified from described eyeball image Penetrate light source information;Described reflection source information be described object to be identified eyeball in current environment The refraction information of the first light source.
First, from eyeball image, extract the object to be identified reflection source letter for currently practical environment Breath, this reflection source information can be the eyeball first light source to actual environment of object to be identified Refraction information.Wherein, the refraction information of the first light source is it may be that the physical location of first light source Refraction information, or, the refraction information of the intensity of the first light source, etc..Because at actual scene In, it is possible to one light source of more than existence in actual environment, in the case of the most natural light, Also having electric light light source etc., therefore, the first light source can be any one light source in actual environment.When So those skilled in the art can also independently arrange the first light source is the principal light source in actual environment.
Wherein, concrete extracting mode can use algorithm for pattern recognition to realize, such as, and K-NN (K-Nearest Neighbor, nearest-neighbors) algorithm, Bayes's classification (Bayes Classifier) Algorithm, principal component analysis (Principle Component Analysis, PCA) algorithm, etc..
Step B2: extract the actual light of the first light source in described current environment from described ambient image Source information.
In this step, then it is to use the mode identification method identical with step B1, comes from environment map The actual light source information of the first light source in currently practical environment is extracted in Xiang.Wherein, actual light Source information is it may be that the first light source location, and such as, lamp " sun " is currently The position, upper left side of actual environment, or, the strength information of the first light source, such as electric light light source Strength information (can represent by wattage), etc..
Step B3: judge whether described reflection source information and described actual light source information mate.
After obtaining reflection source information and actual light source information, it is possible to both are compared and sentences It is disconnected that whether both mate.Such as, when lamp " sun " is on the upper left side of currently practical environment In the case of position, then also should there is correspondence on upper left side in its refraction information in eyeball image The bright luminous point of light source.If reflection source information and actual light source information matches, then illustrate to wait to know The eyeball image of other object has correctly reflected the light source information in actual environment image, then can recognize It is organism really for object to be identified, because only that light source could be had suitable by lived organism The reflection of answering property.
In actual applications, in order to the judged result making this step is the most accurate, then step B3 it After, it is also possible to include step B4:
Step B4: in response to the opening and closing operation of the secondary light source of described current environment, it is judged that The reflection variation information of object to be identified described in described eyeball image and actual change information whether one Cause.
Wherein, actual change information can represent that the opening and closing of secondary light source are to described current environment The light and shade change brought, described reflection variation information represents that the eyeball of described object to be identified is for institute The reflection information stating the opening and closing of secondary light source and make.Such as, self set at identification equipment In the case of having put secondary light source, the rearmounted flash lamp of such as mobile phone, then can first open and turn off This secondary light source, judges the reflection variation information of object to be identified and this reality in eyeball image Change information is the most consistent.Because in actual applications, the opening and closing of secondary light source will certainly Affecting the light and shade distribution situation of actual environment, such as, after opening secondary light source, meeting is at actual environment The dead ahead of middle object to be identified forms new bright areas, meanwhile, the pupil of object to be identified Also corresponding in the refraction information in hole occur that bright color lump disappears then, then object to be identified can be described Eyeball in pupil the most correctly reflected actual environment light source change, in this case may be used To think that object to be identified is really as organism.
In actual applications, in order to the judged result making this step is the most accurate, then step B3 it After, it is also possible to include step B5:
Step B5: in response to the predetermined pattern information of display on the screen of described identification equipment, it is judged that Reflection graphic patterns information and the described predetermined pattern information of object to be identified described in described eyeball image are No unanimously.
Wherein, reflection graphic patterns information can represent that the eyeball of described object to be identified is for described default figure The refraction information of case information, described predetermined pattern information can include color and/or shape.For life For object, identify display and change if carried out predetermined pattern information on the display screen of equipment, Then the refraction information of pupil is also bound to present this display and change.For example, it is assumed that The red background of bulk is shown, the most accordingly, in eyeball image on the display screen of identification equipment Also can there is red color lump information in corresponding position in the reflection graphic patterns information of pupil.The most such as, as Fruit identifies that the display screen of equipment first demonstrates that green background is transformed to red background again, then pupil is anti- Penetrate and pattern-information also first can occur in corresponding position green color lump, and then be transformed to red color again Block.Therefore, if step B5 determines whether to obtain consistent result, illustrate the most accurately Judgment accuracy for object to be identified.
Step 103: determine that described object to be identified is organism.
In a step 102 if it is determined that obtain the result of affirmative, then may determine that object to be identified is made a living Object.Certainly, if the result obtained in step 102 is no, then explanation object to be identified is not Lived organism, such as, is photo, video recording, model etc., and then can refuse this and wait to know The certification request etc. of other object.
Further, can also include after step 103:
Step 104: the certification request sent in response to described organism, is asked by described certification.
If in step 103 it has been determined that object to be identified is organism, then can be at this organism The when of sending certification request, asked by its certification, or, sending other at this organism please Perform when asking to allow operation.
Visible, in the embodiment of the present application, by pupil pair in the eyeball image to object to be identified The extraction of the refraction information of currently practical environment and judgement, can judge exactly one to be identified Whether object is organism, it is achieved that organism identification accurately, improves the effect of organism identification Rate.And then, pass through again the object determining organism sends certification request when, moreover it is possible to carry The safety of high network data processing.
For aforesaid embodiment of the method, in order to be briefly described, therefore it is all expressed as a series of Combination of actions, but those skilled in the art should know, and the application is not by described action The restriction of order, because according to the application, some step can use other orders or enter simultaneously OK.Secondly, those skilled in the art also should know, embodiment described in this description all belongs to In preferred embodiment, necessary to involved action and module not necessarily the application.
The method that biometric discrimination method embodiment a kind of with above-mentioned the application is provided is corresponding, sees Fig. 2, present invention also provides a kind of biological identification device embodiment, in the present embodiment, this device Can be integrated on identification equipment, this device may include that
Obtain image module 201, for obtaining the eyeball image of object to be identified, and, described in treat Identify object towards the ambient image of current environment.
Wherein, described identification equipment is the smart machine with front-facing camera and post-positioned pick-up head, then Described acquisition image module 201, may include that the first acquisition submodule, for preposition taking the photograph from described As the multimedia messages of head shooting obtains the eyeball image of object to be identified;With, second obtains son Module, for from the multimedia messages that described post-positioned pick-up head shoots obtain object to be identified towards Ambient image.
Judge module 202, is used for judging that described in described eyeball image, object to be identified is for working as front ring Whether the reflection light and shade information in border, mate with the actual light and shade information in described ambient image.
Wherein, described judge module 202 may include that
First extracts submodule, for extracting described object to be identified from described eyeball image for working as The reflection source information of front environment;Described reflection source information is in the eyeball of described object to be identified Refraction information to the first light source of current environment;Second extracts submodule, for from described environment Image extracts the actual light source information of the first light source in described current environment;With, first judges son Module, is used for judging whether described reflection source information and described actual light source information mate.
Wherein, described judge module 202 can also include:
Second judges submodule, for the opening and closing of the secondary light source in response to described current environment Operation, it is judged that the reflection variation information of object to be identified described in described eyeball image and actual change Information is the most consistent, and wherein, actual change information represents that the opening and closing of secondary light source are to described The light and shade change that current environment brings, described reflection variation information represents the eye of described object to be identified The reflection information that ball is made for the opening and closing of described secondary light source.
Wherein, described judge module 202 can also include:
3rd judges submodule, in response to the predetermined pattern of display on the screen of described identification equipment Information, it is judged that the reflection graphic patterns information of object to be identified described in described eyeball image and described preset Pattern-information is the most consistent, and wherein, described reflection graphic patterns information represents the eye of described object to be identified Ball includes the face of pattern for the refraction information of described predetermined pattern information, described predetermined pattern information Color and/or shape.
Determine module 203, in the case of the result at described judge module is for being, determine described Object to be identified is organism.
Wherein, this device can also include:
By authentication module 204, for the certification request sent in response to described organism, by institute State certification request.
In the embodiment of the present application, by pupil in the eyeball image to object to be identified to current real The extraction of the refraction information of border environment and judgement, can judge that an object to be identified is exactly No for organism, it is achieved that organism identification accurately, improve the efficiency of organism identification.Enter And, pass through again the object determining organism sends certification request when, moreover it is possible to improve network The safety that data process.
The embodiment of the present application also discloses a kind of identification equipment, and this identification equipment can include such as Fig. 2 Shown identification device, this identification device can be integrated on the processor of identification equipment, this identification Equipment can be smart machine, and such as smart mobile phone or panel computer etc. realize.
It should be noted that each embodiment in this specification all uses the mode gone forward one by one to describe, often What individual embodiment stressed is all the difference with other embodiments, phase between each embodiment As homophase, part sees mutually.For device class embodiment, owing to it is real with method Executing example basic simlarity, so describe is fairly simple, relevant part sees the part of embodiment of the method Illustrate.
Finally, in addition it is also necessary to explanation, in this article, the relation of such as first and second or the like Term is used merely to separate an entity or operation with another entity or operating space, and not Necessarily require or imply and there is the relation of any this reality or suitable between these entities or operation Sequence.And, term " includes ", " comprising " or its any other variant are intended to non-exclusive Comprising, so that include the process of a series of key element, method, article or equipment not only of property Including those key elements, but also include other key elements being not expressly set out, or also include for The key element that this process, method, article or equipment are intrinsic.In the situation not having more restriction Under, statement " including ... " key element limited, it is not excluded that including described key element Process, method, article or equipment there is also other identical element.
Above biometric discrimination method provided herein, device and identification equipment are carried out detailed Jie Continuing, principle and the embodiment of the application are set forth by specific case used herein, with The explanation of upper embodiment is only intended to help and understands the present processes and core concept thereof;Meanwhile, For one of ordinary skill in the art, according to the thought of the application, in detailed description of the invention and should All will change with in scope, in sum, this specification content should not be construed as this Shen Restriction please.

Claims (10)

1. a biometric discrimination method, it is characterised in that the method is applied on identification equipment, bag Include:
Obtain object to be identified eyeball image, and, described object to be identified towards current environment Ambient image;
Judge the reflection light and shade information for current environment of the object to be identified described in described eyeball image, Whether mate with the actual light and shade information in described ambient image, if it is, wait described in determining to know Other object is organism.
Method the most according to claim 1, it is characterised in that described identification equipment be with Front-facing camera and the smart machine of post-positioned pick-up head, the eyeball figure of the most described acquisition object to be identified As information, and, described object to be identified towards environmental information, including:
The eyeball image of object to be identified is obtained from the multimedia messages that described front-facing camera shoots;
From the multimedia messages that described post-positioned pick-up head shoots obtain object to be identified towards environment Image.
Method the most according to claim 1, it is characterised in that described judgement described eyeball figure Object to be identified described in Xiang is for the reflection light and shade information of current environment, and in described ambient image Actual light and shade information whether mate, including:
The described object to be identified reflection source letter for current environment is extracted from described eyeball image Breath;Described reflection source information be described object to be identified eyeball in the first light to current environment The refraction information in source;
The actual light source information of the first light source in described current environment is extracted from described ambient image;
Judge whether described reflection source information and described actual light source information mate.
Method the most according to claim 3, it is characterised in that described judgement described eyeball figure Object to be identified described in Xiang is for the reflection light and shade information of current environment, and in described ambient image Actual light and shade information whether mate, also include:
Opening and closing operation in response to the secondary light source of described current environment, it is judged that described eyeball figure The reflection variation information of object to be identified described in Xiang is the most consistent with actual change information, wherein, Actual change information represents that the light and shade brought to described current environment that opens and closes of secondary light source becomes Changing, described reflection variation information represents that the eyeball of described object to be identified is for described secondary light source The reflection information opened and closed and make.
Method the most according to claim 3, it is characterised in that described judgement described eyeball figure Object to be identified described in Xiang is for the reflection light and shade information of current environment, and in described ambient image Actual light and shade information whether mate, also include:
In response to the predetermined pattern information of display on the screen of described identification equipment, it is judged that described eyeball figure The reflection graphic patterns information of object to be identified described in Xiang is the most consistent with described predetermined pattern information, its In, described reflection graphic patterns information represents that the eyeball of described object to be identified is believed for described predetermined pattern The refraction information of breath, described predetermined pattern information includes color and/or the shape of pattern.
6. according to the method described in any one of Claims 1 to 5, it is characterised in that also include:
The certification request sent in response to described organism, is asked by described certification.
7. a biological identification device, it is characterised in that this device is integrated on identification equipment, should Device includes:
Obtain image module, for obtaining the eyeball image of object to be identified, and, described to be identified Object towards the ambient image of current environment;
Judge module, for judging that described in described eyeball image, object to be identified is for current environment Whether reflection light and shade information, mate with the actual light and shade information in described ambient image;
Determine module, in the case of in the result of described judge module for being, determine described in wait to know Other object is organism.
Device the most according to claim 7, it is characterised in that described identification equipment be with Front-facing camera and the smart machine of post-positioned pick-up head, the most described acquisition image module, including:
First obtains submodule, treats for obtaining from the multimedia messages that described front-facing camera shoots Identify the eyeball image of object;
Second obtains submodule, treats for obtaining from the multimedia messages that described post-positioned pick-up head shoots Identify object towards ambient image.
Device the most according to claim 7, it is characterised in that described judge module includes:
First extracts submodule, for extracting described object to be identified from described eyeball image for working as The reflection source information of front environment;Described reflection source information is in the eyeball of described object to be identified Refraction information to the first light source of current environment;
Second extracts submodule, for extracting the first light in described current environment from described ambient image The actual light source information in source;
First judges submodule, is used for judging that described reflection source information and described actual light source information are No coupling.
10. one kind identifies equipment, it is characterised in that described identification equipment includes claim 7-10 Identification device described in any one.
CN201610366341.XA 2016-05-27 2016-05-27 Biometric identification method, biometric identification device and identification equipment Pending CN106022283A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610366341.XA CN106022283A (en) 2016-05-27 2016-05-27 Biometric identification method, biometric identification device and identification equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610366341.XA CN106022283A (en) 2016-05-27 2016-05-27 Biometric identification method, biometric identification device and identification equipment

Publications (1)

Publication Number Publication Date
CN106022283A true CN106022283A (en) 2016-10-12

Family

ID=57092284

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610366341.XA Pending CN106022283A (en) 2016-05-27 2016-05-27 Biometric identification method, biometric identification device and identification equipment

Country Status (1)

Country Link
CN (1) CN106022283A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106845438A (en) * 2017-02-13 2017-06-13 联想(北京)有限公司 A kind of face identification method, device and electronic equipment
CN109583287A (en) * 2017-09-29 2019-04-05 阿里巴巴集团控股有限公司 Recognition methods in kind and verification method
CN109618100A (en) * 2019-01-15 2019-04-12 北京旷视科技有限公司 Judgment method, the apparatus and system of image is taken on site
CN109741477A (en) * 2018-12-27 2019-05-10 深圳市商汤科技有限公司 Work attendance management system, method and electronic equipment

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103605961A (en) * 2013-11-20 2014-02-26 吉林大学 Fingerprint and iris integration identification device
CN105117695A (en) * 2015-08-18 2015-12-02 北京旷视科技有限公司 Living body detecting device and method
CN105138996A (en) * 2015-09-01 2015-12-09 北京上古视觉科技有限公司 Iris identification system with living body detecting function

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103605961A (en) * 2013-11-20 2014-02-26 吉林大学 Fingerprint and iris integration identification device
CN105117695A (en) * 2015-08-18 2015-12-02 北京旷视科技有限公司 Living body detecting device and method
CN105138996A (en) * 2015-09-01 2015-12-09 北京上古视觉科技有限公司 Iris identification system with living body detecting function

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106845438A (en) * 2017-02-13 2017-06-13 联想(北京)有限公司 A kind of face identification method, device and electronic equipment
CN109583287A (en) * 2017-09-29 2019-04-05 阿里巴巴集团控股有限公司 Recognition methods in kind and verification method
CN109583287B (en) * 2017-09-29 2024-04-12 浙江莲荷科技有限公司 Object identification method and verification method
CN109741477A (en) * 2018-12-27 2019-05-10 深圳市商汤科技有限公司 Work attendance management system, method and electronic equipment
WO2020134524A1 (en) * 2018-12-27 2020-07-02 深圳市商汤科技有限公司 Attendance management system and method, and electronic device
JP2021529394A (en) * 2018-12-27 2021-10-28 深▲せん▼市商▲湯▼科技有限公司Shenzhen Sensetime Technology Co., Ltd. Time and attendance systems, methods and electronics
CN109618100A (en) * 2019-01-15 2019-04-12 北京旷视科技有限公司 Judgment method, the apparatus and system of image is taken on site

Similar Documents

Publication Publication Date Title
US10997445B2 (en) Facial recognition-based authentication
KR101415287B1 (en) Method, computer-readable storage device and computing device for liveness detercion
CN106372601B (en) Living body detection method and device based on infrared visible binocular images
CN103294993B (en) The device and method of false face for identification
WO2022052475A1 (en) Image capture processing method, apparatus and device, storage medium, and program product
US9058519B2 (en) System and method for passive live person verification using real-time eye reflection
CN100454329C (en) Photographed body authenticating device,method and program, face authenticating device, portable telephone
JP2019506694A (en) Biometric analysis system and method
KR20140001164A (en) Facial recognition
CN104657648A (en) Head-mounted display device and login method thereof
CN109427124A (en) A kind of binocular camera recognition of face access control equipment and its control method
CN104364798A (en) Systems and method for facial verification
CN106022283A (en) Biometric identification method, biometric identification device and identification equipment
CN104834901A (en) Binocular stereo vision-based human face detection method, device and system
KR101014325B1 (en) Face recognition system and method using the infrared rays
JPWO2009016846A1 (en) Iris authentication device and iris authentication system
KR101645084B1 (en) Hand attached -type wearable device for iris recognition in outdoors and/or indoors
CN109002786A (en) Method for detecting human face, equipment and computer readable storage medium
US11756336B2 (en) Iris authentication device, iris authentication method, and recording medium
CN106941588B (en) Data processing method and electronic equipment
CN105320941A (en) Biometric identification apparatus based on fusion of iris and human face and biometric identification method using apparatus
CN114596620B (en) Light supplement control method, device and equipment for face recognition equipment and storage medium
CN202559880U (en) Intelligent door lock system with face detection function
CN107784300A (en) Anti- eye closing photographic method and its system
CN105279498B (en) A kind of eyeball recognition methods, device and terminal

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20161012

RJ01 Rejection of invention patent application after publication