CN109871796A - Method for anti-counterfeit and device based on living body iris - Google Patents

Method for anti-counterfeit and device based on living body iris Download PDF

Info

Publication number
CN109871796A
CN109871796A CN201910101762.3A CN201910101762A CN109871796A CN 109871796 A CN109871796 A CN 109871796A CN 201910101762 A CN201910101762 A CN 201910101762A CN 109871796 A CN109871796 A CN 109871796A
Authority
CN
China
Prior art keywords
iris
image
user
iris image
living body
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
CN201910101762.3A
Other languages
Chinese (zh)
Inventor
储朱涛
贺鹏飞
张昕昱
马征
孙科
陈智
何彩洋
王文强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Creates A Carpenter Mdt Infotech Ltd
Original Assignee
Hangzhou Creates A Carpenter Mdt Infotech 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 Hangzhou Creates A Carpenter Mdt Infotech Ltd filed Critical Hangzhou Creates A Carpenter Mdt Infotech Ltd
Priority to CN201910101762.3A priority Critical patent/CN109871796A/en
Publication of CN109871796A publication Critical patent/CN109871796A/en
Pending legal-status Critical Current

Links

Landscapes

  • Collating Specific Patterns (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The present invention relates to a kind of method for anti-counterfeit and device based on living body iris, method include: the first facial image of the user based on the acquisition of visible image capturing head, obtain the iris image of the user;Judge whether the iris image derives from living body iris;If the iris image derives from living body iris, detects the iris image and whether the pre-stored iris image of the user matches;If the iris image matches with the pre-stored iris image, determine that the facial image is true, it realizes and accurately judges whether user forges face using mobile phone, plate, photo, mask, headgear, doll etc. using iris, reduce the phenomenon that using video to forge because of anti-fake be cracked of algorithm.Using technical solution of the present invention, anti-fake judgement effectively can be carried out to facial image, guarantee the reliability of recognition of face.

Description

Method for anti-counterfeit and device based on living body iris
Technical field
The present invention relates to authentication techniques fields, and in particular to a kind of method for anti-counterfeit and device based on living body iris.
Background technique
The greatly easy process of authentication of the use of biometrics identification technology, face, fingerprint, palm line, iris, The presence of the biological characteristics such as retina, sound, the bodily form, personal habits exists dependent on individual itself, eliminates external identity and tests Demonstrate,prove the problems such as equipment such as equipment such as identity card equipment that may be present is lost.And face is as one among this all multiple features It is a the most intuitive and the feature of acquisition is facilitated to be widely used in various authentication occasions.It is used in recognition of face each It is no lack of the automatic operation scene for having no supervision in scene, in these scenes, in addition to ensuring that recognition of face is accurate With it is effective, anti-fake is equally the project that must pay attention in risk management.In many forgery means, use is the most general The method not high all over, fraud cost and technical requirements mainly has the methods of photo, plate, mobile phone, and mask, headgear etc. forge method Although higher cost, equally it is no lack of appearance when cracking and generating along with interests.
At present for recognition of face method for anti-counterfeit can use structure light video camera head is anti-fake, infrared camera is anti-fake, calculate Method method for anti-counterfeit etc..Wherein, it can judge that user is by the depth image before detection device with structure light video camera head is anti-fake It is no to be forged using mobile phone, plate, photo etc., but failure will be judged for equipment such as mask, headgear, dolls.It is infrared Camera can pass through transmitting infrared light and acquire infrared external reflection information to obtain the feedback of the information before camera, this method pair Forgery behavior is carried out equally to a certain extent effectively in mobile phone, plate, photo etc., but for the black white image of papery, by In the difference of gray level, it is infrared be absorbed after the degree that returns will follow the grey scale change of image and change, it will cause whether The judgement of forgery fails.Algorithm method for anti-counterfeit, can be by allowing the user before camera lens to judge to be by the methods of movement, sound No living body, for this operation, once found out algorithm it is anti-fake in the contents such as the movement, the voice that are likely to occur, use video pseudo- Making can crack.
Therefore, how anti-fake judgement effectively to be carried out to facial image, guarantees that the reliability of recognition of face is people from this field Member's technical problem urgently to be resolved.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of method for anti-counterfeit and device based on living body iris, to realize Anti-fake judgement effectively is carried out to facial image, guarantees the reliability of recognition of face.
In order to achieve the above object, the present invention provides a kind of method for anti-counterfeit based on living body iris, comprising:
The first facial image of user based on the acquisition of visible image capturing head, obtains the iris image of the user;
Judge whether the iris image derives from living body iris;
If the iris image derives from living body iris, the pre-stored iris figure of the iris image Yu the user is detected It seem no to match;
If the iris image matches with the pre-stored iris image, determine that the facial image is true.
Further, in method described above, the first face figure of the user based on the acquisition of visible image capturing head Picture obtains the iris image of the user, comprising:
Determine the position in first facial image where human face characteristic point;
Based on the position where the human face characteristic point, the eye position of the user is determined;
Based on the eye position and Pupil diameter algorithm, the pupil position of eyes is determined;
Based on the pupil position, iris position is determined;
The iris position is mapped in the second facial image of microscope acquisition, obtains the iris image;
Wherein, the microscopical operating distance is 10cm-10m.
Further, described to be based on the pupil position in method described above, determine iris position, comprising:
Based on the pupil position, pupil inner boundary position and pupil outer boundary position are positioned;
According to pupil inner boundary position and pupil outer boundary position, the iris position is determined.
Further, in method described above, second people that the iris position is mapped to microscope acquisition In face image, the iris image is obtained, comprising:
The corresponding mapping position in iris position described in the second facial image, which cuts to obtain, cuts image;
The cutting image is normalized, the iris image is obtained.
Further, described to judge whether the iris image derives from living body iris in method described above, packet It includes:
Based on the pupil position, simulation blinkpunkt position is determined;
Detect whether the simulation blinkpunkt position matches with specified blinkpunkt position;
If the simulation blinkpunkt position matches with the specified blinkpunkt position, determine that the iris image derives from Living body iris;
If the simulation blinkpunkt position and the specified blinkpunkt position mismatch, the non-source of the iris image is determined In living body iris.
Further, in method described above, the pre-stored iris of the detection iris image and the user Whether image matches, including
Iris attribute information is extracted from the iris image;
Detect whether the iris attribute information matches with the pre-stored iris image attribute information;
If the iris attribute information matches with the pre-stored iris attribute information, the iris image and institute are determined Pre-stored iris image is stated to match.
Further, in method described above, the pre-stored iris of the detection iris image and the user Before whether image matches, further includes:
First facial image is identified based on Face datection algorithm, obtains the identity of the user;
According to the identity, the pre-stored iris image is obtained.
Further, method described above, further includes:
If the iris image and the pre-stored iris image mismatch, exporting the facial image is false prompt letter Breath;And/or
If the iris image does not derive from the living body iris, exporting the facial image is false prompt information.
The present invention also provides a kind of false proof devices based on living body iris, comprising:
Module is obtained, the first facial image of the user for acquiring based on visible image capturing head obtains the user's Iris image;;
Judgment module, for judging whether the iris image derives from living body iris;
Detection module detects the iris image and the user if deriving from living body iris for the iris image Pre-stored iris image whether match;
Determining module determines the face figure if matching for the iris image and the pre-stored iris image As being true.
Further, in device described above, the acquisition module is specifically used for:
Determine the position in first facial image where human face characteristic point;
Based on the position where the human face characteristic point, the eye position of the user is determined;
Based on the eye position and Pupil diameter algorithm, the pupil position of eyes is determined;
Based on the pupil position, iris position is determined;
The iris position is mapped in the second facial image of microscope acquisition, obtains the iris image;
Wherein, the microscopical operating distance is 10cm-10m.
Method for anti-counterfeit and device based on living body iris of the invention, first of the user based on the acquisition of visible image capturing head Facial image obtains the iris image of user;Judge whether iris image derives from living body iris;If iris image is from work Whether body iris, the pre-stored iris image for detecting iris image and user match;If iris image and pre-stored iris figure As matching, determine facial image be it is true, realize accurately judged using iris user whether use mobile phone, plate, photo, Mask, headgear, doll etc. forge face, reduce the phenomenon that using video to forge because of anti-fake be cracked of algorithm.It adopts With technical solution of the present invention, anti-fake judgement effectively can be carried out to facial image, guarantee the reliability of recognition of face.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with It obtains other drawings based on these drawings.
Fig. 1 is the flow chart of the method for anti-counterfeit embodiment of the invention based on living body iris;
Fig. 2 is the structural schematic diagram of the false proof device embodiment of the invention based on living body iris.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, technical solution of the present invention will be carried out below Detailed description.Obviously, described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Base Embodiment in the present invention, those of ordinary skill in the art are obtained all without making creative work Other embodiment belongs to the range that the present invention is protected.
Fig. 1 is the flow chart of the method for anti-counterfeit embodiment of the invention based on living body iris, as shown in Figure 1, the present embodiment The method for anti-counterfeit based on living body iris can specifically include following steps:
100, the first facial image of the user based on the acquisition of visible image capturing head, obtains the iris image of the user;
During a specific implementation, since iris is about reached maturity at human body 8 months, by many gland nests, wrinkle Pleat, pigmented spots etc. are constituted, and include information abundant.Iris is present in inside of eye and is covered by organs such as cornea, crystalline lenses, is difficult Variation is brought it about by artificial modification.Iris is made to have many advantages, such as uniqueness, stability, non-infringement property in this way.Therefore, When carrying out authentication, the first facial image of visible image capturing head acquisition user, and the user based on acquisition can use The first facial image, obtain the iris image of user.
For example, can determine the position in the first facial image where human face characteristic point based on dlib algorithm;Based on face Position where characteristic point determines the eye position of user;Eye position and Pupil diameter algorithm based on user, determine eyes Pupil position;Pupil position based on eyes determines iris position.Specifically, it can be based on pupil position, positioned in pupil Boundary position and outer boundary position;According to pupil inner boundary position and outer boundary position, iris position is determined.Determining iris position It postpones, iris position can be mapped in the second facial image of microscope acquisition, obtain iris image;It specifically, can be with The corresponding mapping position in iris position, which cuts to obtain, from the second facial image cuts image;Place is normalized to image is cut Reason, obtains iris image.
In the present embodiment, microscopical operating distance is 10cm-10m.In this way, when acquiring the second facial image of user Only need to common camera it is the same towards designated position annotation can positioning acquisition to the second facial image of user, reduce Spacial influence.
101, judge whether iris image derives from living body iris;
When acquiring iris image, it is desirable that a certain target point of user comment is used as specified blinkpunkt position, in this way, After the iris image for collecting user, the position of the pupil of Pupil diameter algorithm positioning eyes can be used, then basis Pupil position determines simulation blinkpunkt position.After determining simulation blinkpunkt position, according to simulation blinkpunkt and it can specify Whether blinkpunkt position carries out user's verification, matched with detection simulation blinkpunkt position with specified blinkpunkt position, such as Fruit simulation blinkpunkt position is not matched that with specified blinkpunkt position, illustrates that user, may without fixation object point as requested There are problems that prosthese eyeball, iris image do not derive from living body iris.If simulating blinkpunkt position and specified blinkpunkt position Match, illustrate user's fixation object point as requested, it is understood that there may be prosthese eyeball problem, iris image derive from living body rainbow Film.
If 102, iris image derives from living body iris, the pre-stored iris image of detection iris image and user whether phase Matching;
In practical applications, since facial image can be replicated by equipment such as mask, headgear, dolls, so i.e. Make to judge iris image from living body iris, but still can not accurately determine facial image be very, therefore, the present embodiment In, however, it is determined that iris image derives from living body iris, needs further to detect the pre-stored iris image of iris image and user Whether match.
Specifically, in user's registration facial image, the iris image of user can be obtained according to aforesaid way as pre- Iris image is stored, and extracts corresponding iris attribute information as judgment criteria from pre-stored iris image, wherein this reality Applying the iris attribute information in example may include gland nest, gauffer, pigmented spots etc..In this way, however, it is determined that iris image derives from living body Iris can extract iris attribute information from iris image;Detect the pre-stored iris image of iris attribute information and user Whether corresponding pre-stored iris figure attribute information matches;If iris attribute information and pre-stored iris image attribute information phase Matching determines that iris image is pre-stored iris image with user and matches.
For example, iris attribute information can be compared with pre-stored iris attribute information, the similarity of the two is obtained, When the similarity of the two is greater than preset threshold, then it is assumed that iris attribute information is pre-stored iris attribute information phase with user Match, and then iris image can be determined and matched with the pre-stored iris image of user, otherwise it is assumed that iris attribute information and user are pre- It stores iris attribute information to mismatch, and then iris image and the pre-stored iris image mismatch of user can be determined.
If 103, iris image and the pre-stored iris image of user match, determine that facial image is true.
If iris image and the pre-stored iris image of user match, determine that facial image is that very, can carry out subsequent Operation, for example, unlock, login application etc..
The method for anti-counterfeit based on living body iris of the present embodiment, the first face of the user based on the acquisition of visible image capturing head Image obtains the iris image of user;Judge whether iris image derives from living body iris;If iris image derives from living body rainbow Whether film, the pre-stored iris image for detecting iris image and user match;If iris image and pre-stored iris image phase Matching determines that facial image is very, to realize and accurately judge whether user uses mobile phone, plate, photo, face using iris Tool, headgear, doll etc. forge face, reduce the phenomenon that using video to forge because of anti-fake be cracked of algorithm.Using Technical solution of the present invention effectively can carry out anti-fake judgement to facial image, guarantee the reliability of recognition of face.
Further, in above-described embodiment, it is in the pre-stored iris image of the detection iris image and the user It is no match before, the first facial image can be identified based on Face datection algorithm, obtain the identity of user;Root According to identity, pre-stored iris image is obtained.
Further, in above-described embodiment, if iris image and the pre-stored iris image of user mismatch, face is exported Image is false prompt information, and/or, if iris image does not derive from living body iris, output facial image is false prompt letter Breath, to remind user someone that may make illegal activities etc., warns the user of current authentication, so that the use of current authentication Family can stop verifying behavior.
Fig. 2 is the structural schematic diagram of the false proof device embodiment of the invention based on living body iris, as shown in Fig. 2, this reality The false proof device based on living body iris for applying example includes obtaining module 10, judgment module 11, detection module 12 and determining module 13.
Module 10 is obtained, the first facial image of the user for acquiring based on visible image capturing head obtains the user Iris image;
For example, module 10 is obtained, specifically for the position where human face characteristic point in determination first facial image;
Based on the position where the human face characteristic point, the eye position of the user is determined;Based on the eye position With Pupil diameter algorithm, the pupil position of eyes is determined.Specifically, it is based on the pupil position, positions pupil inner boundary position With outer boundary position;According to pupil inner boundary position and outer boundary position, the iris position is determined.Obtaining iris position It postpones, the pupil position can be based on, determine iris position;The iris position is mapped to the second people of microscope acquisition In face image, the iris image is obtained;Specifically, the corresponding mapping position in the iris position described in the second facial image is cut out It cuts to obtain and cuts image;The cutting image is normalized, the iris image is obtained.Wherein, the microscope Operating distance be 10cm-10m.
Judgment module 11, for judging whether iris image derives from living body iris;
For example, when acquiring iris image, it is desirable that a certain target point of user comment is used as specified blinkpunkt position, this After collecting the iris image of user the position of the pupil of Pupil diameter algorithm positioning eyes can be used, then in sample Depending on pupil position, determine simulation blinkpunkt position determine simulate blinkpunkt position after, can according to simulation blinkpunkt and Specified blinkpunkt position carries out user's verification, with detection simulation blinkpunkt position and specified blinkpunkt position whether phase Match, if simulation blinkpunkt position is not matched that with specified blinkpunkt position, illustrate the no fixation object point as requested of user, There may be prosthese eyeball problem, iris image does not derive from living body iris.If simulating blinkpunkt position and specified blinkpunkt Position matches, and illustrates user's fixation object point as requested, it is understood that there may be prosthese eyeball problem, iris image derive from living body Iris.
Detection module 12, if deriving from living body iris for iris image, detection iris image and user are pre-stored iris Whether image matches;
For example, can identify based on Face datection algorithm to first facial image, the identity mark of user is obtained Know;According to the identity of user, pre-stored iris image is obtained.It, can be from iris after obtaining pre-stored iris image Iris attribute information is extracted in image;Detect iris attribute information iris attribute information corresponding with the pre-stored iris image of user Whether match;Match if iris attribute information is pre-stored iris attribute information with user, determines that iris image is pre- with user Storage iris image matches.
Determining module 13 determines that facial image is if the pre-stored iris image for iris image and user matches Very.
The false proof device based on living body iris of the present embodiment, the first face of the user based on the acquisition of visible image capturing head Image obtains the iris image of user;Judge whether iris image derives from living body iris;If iris image derives from living body rainbow Whether film, the pre-stored iris image for detecting iris image and user match;If iris image and pre-stored iris image phase Matching determines that facial image is very, to realize and accurately judge whether user uses mobile phone, plate, photo, face using iris Tool, headgear, doll etc. forge face, reduce the phenomenon that using video to forge because of anti-fake be cracked of algorithm.Using Technical solution of the present invention effectively can carry out anti-fake judgement to facial image, guarantee the reliability of recognition of face.
Further, false proof device of the above-described embodiment based on living body iris can also include output module 14, export mould If block 14 is mismatched for iris image and the pre-stored iris image of user, output facial image is false prompt information, and/ Or, output facial image is false prompt information if iris image derives from living body iris.
About the device in above-described embodiment, wherein modules execute the concrete mode of operation in related this method Embodiment in be described in detail, no detailed explanation will be given here.
It is understood that same or similar part can mutually refer in the various embodiments described above, in some embodiments Unspecified content may refer to the same or similar content in other embodiments.
It should be noted that in the description of the present invention, term " first ", " second " etc. are used for description purposes only, without It can be interpreted as indication or suggestion relative importance.In addition, in the description of the present invention, unless otherwise indicated, the meaning of " multiple " Refer at least two.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be of the invention Embodiment person of ordinary skill in the field understood.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware Any one of column technology or their combination are realized: having a logic gates for realizing logic function to data-signal Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene Programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any One or more embodiment or examples in can be combined in any suitable manner.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned Embodiment is changed, modifies, replacement and variant.

Claims (10)

1. a kind of method for anti-counterfeit based on living body iris characterized by comprising
The first facial image of user based on the acquisition of visible image capturing head, obtains the iris image of the user;
Judge whether the iris image derives from living body iris;
If the iris image derives from living body iris, detects the iris image and the pre-stored iris image of the user is It is no to match;
If the iris image matches with the pre-stored iris image, determine that the facial image is true.
2. the method according to claim 1, wherein the first of the user based on the acquisition of visible image capturing head Facial image obtains the iris image of the user, comprising:
Determine the position in first facial image where human face characteristic point;
Based on the position where the human face characteristic point, the eye position of the user is determined;
Based on the eye position and Pupil diameter algorithm, the pupil position of eyes is determined;
Based on the pupil position, iris position is determined;
The iris position is mapped in the second facial image of microscope acquisition, obtains the iris image;
Wherein, the microscopical operating distance is 10cm-10m.
3. according to the method described in claim 2, it is characterized in that, it is described be based on the pupil position, determine iris position, wrap It includes:
Based on the pupil position, pupil inner boundary position and pupil outer boundary position are positioned;
According to pupil inner boundary position and pupil outer boundary position, the iris position is determined.
4. according to the method described in claim 2, it is characterized in that, described be mapped to microscope acquisition for the iris position In second facial image, the iris image is obtained, comprising:
The corresponding mapping position in iris position described in the second facial image, which cuts to obtain, cuts image;
The cutting image is normalized, the iris image is obtained.
5. according to the method described in claim 2, it is characterized in that, described judge whether the iris image derives from living body rainbow Film, comprising:
Based on the pupil position, simulation blinkpunkt position is determined;
Detect whether the simulation blinkpunkt position matches with specified blinkpunkt position;
If the simulation blinkpunkt position matches with the specified blinkpunkt position, determine the iris image from living body Iris;
If the simulation blinkpunkt position and the specified blinkpunkt position mismatch, determine that the iris image does not derive from work Body iris.
6. the method according to claim 1, wherein the detection iris image and the user's prestores Whether storage iris image matches, including
Iris attribute information is extracted from the iris image;
Detect whether the iris attribute information matches with the pre-stored iris image attribute information;
If the iris attribute information matches with the pre-stored iris attribute information, determine the iris image with it is described pre- Storage iris image matches.
7. -6 any method according to claim 1, which is characterized in that the detection iris image and the user Pre-stored iris image whether match before, further includes:
First facial image is identified based on Face datection algorithm, obtains the identity of the user;
According to the identity, the pre-stored iris image is obtained.
8. -6 any method according to claim 1, which is characterized in that further include:
If the iris image and the pre-stored iris image mismatch, exporting the facial image is false prompt information; And/or
If the iris image does not derive from the living body iris, exporting the facial image is false prompt information.
9. a kind of false proof device based on living body iris characterized by comprising
Module is obtained, the first facial image of the user for acquiring based on visible image capturing head obtains the iris of the user Image;
Judgment module, for judging whether the iris image derives from living body iris;
Detection module detects the pre- of the iris image and the user if deriving from living body iris for the iris image Whether storage iris image matches;
Determining module determines that the facial image is if matching for the iris image and the pre-stored iris image Very.
10. device according to claim 9, which is characterized in that the acquisition module is specifically used for:
Determine the position in first facial image where human face characteristic point;
Based on the position where the human face characteristic point, the eye position of the user is determined;
Based on the eye position and Pupil diameter algorithm, the pupil position of eyes is determined;
Based on the pupil position, iris position is determined;
The iris position is mapped in the second facial image of microscope acquisition, obtains the iris image;
Wherein, the microscopical operating distance is 10cm-10m.
CN201910101762.3A 2019-01-31 2019-01-31 Method for anti-counterfeit and device based on living body iris Pending CN109871796A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910101762.3A CN109871796A (en) 2019-01-31 2019-01-31 Method for anti-counterfeit and device based on living body iris

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910101762.3A CN109871796A (en) 2019-01-31 2019-01-31 Method for anti-counterfeit and device based on living body iris

Publications (1)

Publication Number Publication Date
CN109871796A true CN109871796A (en) 2019-06-11

Family

ID=66918535

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910101762.3A Pending CN109871796A (en) 2019-01-31 2019-01-31 Method for anti-counterfeit and device based on living body iris

Country Status (1)

Country Link
CN (1) CN109871796A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112597970A (en) * 2021-01-22 2021-04-02 盛视科技股份有限公司 Specific person identification method and device
CN113420613A (en) * 2021-06-03 2021-09-21 中国联合网络通信集团有限公司 Identity verification method based on face recognition, face recognition system and associated equipment

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105184277A (en) * 2015-09-29 2015-12-23 杨晴虹 Living body human face recognition method and device
CN109190509A (en) * 2018-08-13 2019-01-11 阿里巴巴集团控股有限公司 A kind of personal identification method, device and computer readable storage medium

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105184277A (en) * 2015-09-29 2015-12-23 杨晴虹 Living body human face recognition method and device
CN109190509A (en) * 2018-08-13 2019-01-11 阿里巴巴集团控股有限公司 A kind of personal identification method, device and computer readable storage medium

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112597970A (en) * 2021-01-22 2021-04-02 盛视科技股份有限公司 Specific person identification method and device
CN113420613A (en) * 2021-06-03 2021-09-21 中国联合网络通信集团有限公司 Identity verification method based on face recognition, face recognition system and associated equipment
CN113420613B (en) * 2021-06-03 2023-09-05 中国联合网络通信集团有限公司 Identity verification method based on face recognition, face recognition system and associated equipment

Similar Documents

Publication Publication Date Title
US10943138B2 (en) Systems and methods of biometric analysis to determine lack of three-dimensionality
JP5674473B2 (en) Biometric authentication using eyes
US6496594B1 (en) Method and apparatus for aligning and comparing images of the face and body from different imagers
US20190392145A1 (en) Detection of print-based spoofing attacks
KR102554391B1 (en) Iris recognition based user authentication apparatus and method thereof
CN111540105A (en) Method, system, equipment and storage medium for controlling access control
US20220189213A1 (en) Authentication device, authentication method, and recording medium
WO2020079741A1 (en) Iris authentication device, iris authentication method, and recording medium
US11682235B2 (en) Iris authentication device, iris authentication method and recording medium
CN104636731B (en) Authentication device combining finger vein recognition with wrist vein recognition and fingernail recognition
Hentati et al. Development a new algorithm for iris biometric recognition
WO2022129591A1 (en) System for determining one or more characteristics of a user based on an image of their eye using an ar/vr headset
CN109871796A (en) Method for anti-counterfeit and device based on living body iris
Kolberg et al. Colfispoof: A new database for contactless fingerprint presentation attack detection research
Hájek et al. Recognition-based on eye biometrics: Iris and retina
Gupta et al. Iris recognition system using biometric template matching technology
CN108009532A (en) Personal identification method and terminal based on 3D imagings
CN116824658A (en) Face authentication method and system with interactive living body detection
Mohammed et al. Conceptual analysis of Iris Recognition Systems
Tomeo-Reyes et al. Input images in iris recognition systems: A case study
Ives et al. An Introduction to Biometrics
Garg et al. Performance Analysis of Uni-modal and Multimodal Biometric System
Gallardo-Cava et al. Creating Realistic Presentation Attacks for Facial Impersonation Step-by-Step
Agarwal et al. A comparative study of facial, retinal, iris and sclera recognition techniques
Deokar et al. Literature Survey of Biometric Recognition Systems

Legal Events

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

Application publication date: 20190611