CN108090415A - A kind of identity comparison method identified based on face and vena metacarpea - Google Patents

A kind of identity comparison method identified based on face and vena metacarpea Download PDF

Info

Publication number
CN108090415A
CN108090415A CN201711188461.6A CN201711188461A CN108090415A CN 108090415 A CN108090415 A CN 108090415A CN 201711188461 A CN201711188461 A CN 201711188461A CN 108090415 A CN108090415 A CN 108090415A
Authority
CN
China
Prior art keywords
road
vena metacarpea
characteristic value
face
arteries
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
CN201711188461.6A
Other languages
Chinese (zh)
Inventor
李火亮
姜楠
李光辉
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.)
Jiangxi Zhi Meng Yuan Agel Ecommerce Ltd
Original Assignee
Jiangxi Zhi Meng Yuan Agel Ecommerce 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 Jiangxi Zhi Meng Yuan Agel Ecommerce Ltd filed Critical Jiangxi Zhi Meng Yuan Agel Ecommerce Ltd
Priority to CN201711188461.6A priority Critical patent/CN108090415A/en
Publication of CN108090415A publication Critical patent/CN108090415A/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
    • G06V40/70Multimodal biometrics, e.g. combining information from different biometric modalities
    • 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
    • G06V40/50Maintenance of biometric data or enrolment thereof

Abstract

The present invention discloses a kind of identity comparison method identified based on face and vena metacarpea, comprises the following steps:Step 1:Typing benchmark biological data, step 2:The activation interval period compares combination pin, step 3:Obtain the biological data of object to be compared, step 4:Identity compares, through the above way, the present invention provides a kind of identity comparison method identified based on face and vena metacarpea, expression password and vena metacarpea cipher code set are merged into section in different times and activate different combination pins, the recognition efficiency of identity comparison is effectively improved, while effectively improves comparison security.

Description

A kind of identity comparison method identified based on face and vena metacarpea
Technical field
The present invention relates to a kind of identity comparison methods identified based on face and vena metacarpea.
Background technology
Traditional face and vena metacarpea recognition methods are easily imitated by replicating, and crack that difficulty is low, and security cannot have Effect ensures.
The content of the invention
The invention mainly solves the technical problem of providing a kind of identity comparison method identified based on face and vena metacarpea, Expression password and vena metacarpea cipher code set are merged into section in different times and activate different combination pins, effectively improves identity comparison Recognition efficiency, while effectively improve comparison security.
In order to solve the above technical problems, one aspect of the present invention is:It provides a kind of quiet based on face and the palm The identity comparison method of arteries and veins identification, comprises the following steps:
Step 1:Typing benchmark biological data,
Obtain portrait collecting apparatus inputs and first, second, third and fourth comprising different type expression, five facial expression images, solution Corresponding face characteristic value is precipitated, is stored as first, second, third and fourth, five expression passwords;
First, second, third and fourth, five arteries and veins road images that are obtaining the harvester input of vena metacarpea road and being formed by different gestures, Corresponding arteries and veins road characteristic value is parsed, is stored as first, second, third and fourth, five gesture arteries and veins road passwords;
Step 2:The activation interval period compares combination pin,
One group is randomly selected as a rule in the 25 groups of comparison groups altogether formed from expression password and arteries and veins road password combination It is after effective legal cipher application of activation is in verification system in section of fixing time, and section expires in the stipulated time that comparison group is automatic Repeating query;
Step 3:The biological data of object to be compared is obtained,
Facial image is obtained from portrait collecting apparatus, parses face characteristic value, parses expression condition code;
Dress, which is gathered, from vena metacarpea road obtains vena metacarpea road image, parsing arteries and veins road characteristic value, parsing gesture arteries and veins road condition code;
Step 4:Identity compares:
Expressive features code and gesture arteries and veins road condition code are sent to verification system, verification system makes with current slot activation Effective legal password in makees equivalent verification, and check results are externally shown.
In a preferred embodiment of the present invention, in the step 1, if the two of which expression in five kinds of facial expression images The degree of approximation of the face characteristic value parsing data of image is more than 80%, then typing is prompted to fail.
In a preferred embodiment of the present invention, the face characteristic value must parse project and include camber state characteristic value, eye Morphological feature value, lip morphological feature value, ligulate state characteristic value, forehead lines morphological feature value.
In a preferred embodiment of the present invention, in the step 1, if the two of which in five kinds of vena metacarpea road images The degree of approximation of the characteristic value parsing data of vena metacarpea road image is more than 80%, then typing is prompted to fail.
In a preferred embodiment of the present invention, it is bent to include thumb vein road for the characteristic value item of vena metacarpea road image Degree, forefinger vein road curvature, middle finger vein road curvature, nameless vein road curvature, little finger of toe vein road curvature.
The beneficial effects of the invention are as follows:A kind of identity identified based on face and vena metacarpea provided by the invention compares other side Expression password and vena metacarpea cipher code set are merged section in different times and activate different combination pins, effectively improve identity by method The recognition efficiency of comparison, while effectively improve comparison security.
Specific embodiment
The technical solution in the embodiment of the present invention will be clearly and completely described below, it is clear that described implementation Example is only the part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common All other embodiment that technical staff is obtained without making creative work belongs to the model that the present invention protects It encloses.
The embodiment of the present invention includes:
A kind of identity comparison method identified based on face and vena metacarpea, is comprised the following steps:
Step 1:Typing benchmark biological data,
Obtain portrait collecting apparatus inputs and first, second, third and fourth comprising different type expression, five facial expression images, solution Corresponding face characteristic value is precipitated, is stored as first, second, third and fourth, five expression passwords;
First, second, third and fourth, five arteries and veins road images that are obtaining the harvester input of vena metacarpea road and being formed by different gestures, Corresponding arteries and veins road characteristic value is parsed, is stored as first, second, third and fourth, five gesture arteries and veins road passwords;
Step 2:The activation interval period compares combination pin,
One group is randomly selected as a rule in the 25 groups of comparison groups altogether formed from expression password and arteries and veins road password combination It is after effective legal cipher application of activation is in verification system in section of fixing time, and section expires in the stipulated time that comparison group is automatic Repeating query;
Step 3:The biological data of object to be compared is obtained,
Facial image is obtained from portrait collecting apparatus, parses face characteristic value, parses expression condition code;
Dress, which is gathered, from vena metacarpea road obtains vena metacarpea road image, parsing arteries and veins road characteristic value, parsing gesture arteries and veins road condition code;
Step 4:Identity compares:
Expressive features code and gesture arteries and veins road condition code are sent to verification system, verification system makes with current slot activation Effective legal password in makees equivalent verification, and check results are externally shown.
Wherein, in the step 1, if the face characteristic value parsing of the two of which facial expression image in five kinds of facial expression images The degree of approximation of data is more than 80%, then typing is prompted to fail.
Further, the face characteristic value must parse project and include camber state characteristic value, eye-shaped state characteristic value, lip shape State characteristic value, ligulate state characteristic value, forehead lines morphological feature value.
Further, in the step 1, if the spy of the two of which vena metacarpea road image in five kinds of vena metacarpea road images The degree of approximation of value indicative parsing data is more than 80%, then typing is prompted to fail.
Further, the characteristic value item of vena metacarpea road image include thumb vein road curvature, forefinger vein road curvature, Middle finger vein road curvature, nameless vein road curvature, little finger of toe vein road curvature.
In conclusion the present invention provides a kind of identity comparison method identified based on face and vena metacarpea, expression is close Code merges the combination pin that section activation is different in different times with vena metacarpea cipher code set, effectively improves the identification effect of identity comparison Rate, while effectively improve comparison security.
The foregoing is merely the embodiment of the present invention, are not intended to limit the scope of the invention, every to utilize this hair The equivalent structure or equivalent flow shift that bright description is made directly or indirectly is used in other relevant technology necks Domain is included within the scope of the present invention.

Claims (5)

1. a kind of identity comparison method identified based on face and vena metacarpea, which is characterized in that comprise the following steps:
Step 1:Typing benchmark biological data,
Portrait collecting apparatus inputs and first, second, third and fourth comprising different type expression, five facial expression images are obtained, are parsed Corresponding face characteristic value, is stored as first, second, third and fourth, five expression passwords;
First, second, third and fourth, five arteries and veins road images that are obtaining the harvester input of vena metacarpea road and being formed by different gestures, parsing Go out corresponding arteries and veins road characteristic value, be stored as first, second, third and fourth, five gesture arteries and veins road passwords;
Step 2:The activation interval period compares combination pin,
When randomly selecting one group as a regulation in the 25 groups of comparison groups altogether formed from expression password and arteries and veins road password combination Between in section activation effective legal cipher application in verification system, and by comparison group automatic wheel after in the stipulated time, section expires It follows;
Step 3:The biological data of object to be compared is obtained,
Facial image is obtained from portrait collecting apparatus, parses face characteristic value, parses expression condition code;
Dress, which is gathered, from vena metacarpea road obtains vena metacarpea road image, parsing arteries and veins road characteristic value, parsing gesture arteries and veins road condition code;
Step 4:Identity compares:
Expressive features code and gesture arteries and veins road condition code are sent to verification system, verification system is activated with current slot in use Effective legal password make equivalent verification, check results are externally shown.
2. the identity comparison method according to claim 1 identified based on face and vena metacarpea, which is characterized in that the step In rapid one, if the degree of approximation that the face characteristic value of the two of which facial expression image in five kinds of facial expression images parses data is more than 80%, then typing is prompted to fail.
3. the identity comparison method according to claim 2 identified based on face and vena metacarpea, which is characterized in that described five Official's characteristic value must parse project include camber state characteristic value, eye-shaped state characteristic value, lip morphological feature value, ligulate state characteristic value, Forehead lines morphological feature value.
4. the identity comparison method according to claim 1 identified based on face and vena metacarpea, which is characterized in that the step In rapid one, if the degree of approximation that the characteristic value of the two of which vena metacarpea road image in five kinds of vena metacarpea road images parses data is more than 80%, then typing is prompted to fail.
5. the identity comparison method according to claim 4 identified based on face and vena metacarpea, which is characterized in that the palm It is quiet that the characteristic value item of vein road image includes thumb vein road curvature, forefinger vein road curvature, middle finger vein road curvature, the third finger Arteries and veins road curvature, little finger of toe vein road curvature.
CN201711188461.6A 2017-11-24 2017-11-24 A kind of identity comparison method identified based on face and vena metacarpea Pending CN108090415A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711188461.6A CN108090415A (en) 2017-11-24 2017-11-24 A kind of identity comparison method identified based on face and vena metacarpea

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711188461.6A CN108090415A (en) 2017-11-24 2017-11-24 A kind of identity comparison method identified based on face and vena metacarpea

Publications (1)

Publication Number Publication Date
CN108090415A true CN108090415A (en) 2018-05-29

Family

ID=62173078

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711188461.6A Pending CN108090415A (en) 2017-11-24 2017-11-24 A kind of identity comparison method identified based on face and vena metacarpea

Country Status (1)

Country Link
CN (1) CN108090415A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110458573A (en) * 2019-07-17 2019-11-15 江西拓世智能科技有限公司 A kind of biological method of payment identified based on face and palmmprint vena metacarpea
CN110598522A (en) * 2019-07-17 2019-12-20 江西拓世智能科技有限公司 Identity comparison method based on face and palm print palm vein recognition

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008067727A (en) * 2006-09-12 2008-03-27 Hitachi Information & Control Solutions Ltd Personal authentication device
US20090232361A1 (en) * 2008-03-17 2009-09-17 Ensign Holdings, Llc Systems and methods of identification based on biometric parameters
CN202041967U (en) * 2011-04-08 2011-11-16 中国矿业大学 Palm vein and human face bimodal biological identification instrument
CN102483845A (en) * 2009-09-11 2012-05-30 富士通株式会社 Biometric authentication device, biometric authentication system, and biometric authentication method
JP2012248047A (en) * 2011-05-30 2012-12-13 Seiko Epson Corp Biological identification device and biological identification method
CN102946481A (en) * 2012-11-13 2013-02-27 广东欧珀移动通信有限公司 Method and system for unlocking human face expression
US20130287268A1 (en) * 2010-12-28 2013-10-31 Fujitsu Limited Biometric authentication device, biometric authentication method, and non-transitory computer-readable recording medium
CN104463237A (en) * 2014-12-18 2015-03-25 中科创达软件股份有限公司 Human face verification method and device based on multi-posture recognition
CN104615993A (en) * 2015-02-12 2015-05-13 张丽琴 Finger vein reorganization and facial vein recognition combined authentication device and method
CN105279478A (en) * 2015-01-31 2016-01-27 谭荣兵 Fingerprint sequential composition password authentification system
KR20160092676A (en) * 2015-01-28 2016-08-05 주식회사 시그널이엔씨 Security system of image terminal based on things acknowledgement
WO2016130939A1 (en) * 2015-02-13 2016-08-18 Mcnulty Scott F System, method and apparatus for generating acoustic signals based on biometric information
CN106600855A (en) * 2016-12-22 2017-04-26 河南牧业经济学院 Payment device and method based on face recognition
CN106919941A (en) * 2017-04-26 2017-07-04 华南理工大学 A kind of three-dimensional finger vein identification method and system

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008067727A (en) * 2006-09-12 2008-03-27 Hitachi Information & Control Solutions Ltd Personal authentication device
US20090232361A1 (en) * 2008-03-17 2009-09-17 Ensign Holdings, Llc Systems and methods of identification based on biometric parameters
CN102483845A (en) * 2009-09-11 2012-05-30 富士通株式会社 Biometric authentication device, biometric authentication system, and biometric authentication method
US20130287268A1 (en) * 2010-12-28 2013-10-31 Fujitsu Limited Biometric authentication device, biometric authentication method, and non-transitory computer-readable recording medium
CN202041967U (en) * 2011-04-08 2011-11-16 中国矿业大学 Palm vein and human face bimodal biological identification instrument
JP2012248047A (en) * 2011-05-30 2012-12-13 Seiko Epson Corp Biological identification device and biological identification method
CN102946481A (en) * 2012-11-13 2013-02-27 广东欧珀移动通信有限公司 Method and system for unlocking human face expression
CN104463237A (en) * 2014-12-18 2015-03-25 中科创达软件股份有限公司 Human face verification method and device based on multi-posture recognition
KR20160092676A (en) * 2015-01-28 2016-08-05 주식회사 시그널이엔씨 Security system of image terminal based on things acknowledgement
CN105279478A (en) * 2015-01-31 2016-01-27 谭荣兵 Fingerprint sequential composition password authentification system
CN104615993A (en) * 2015-02-12 2015-05-13 张丽琴 Finger vein reorganization and facial vein recognition combined authentication device and method
WO2016130939A1 (en) * 2015-02-13 2016-08-18 Mcnulty Scott F System, method and apparatus for generating acoustic signals based on biometric information
CN106600855A (en) * 2016-12-22 2017-04-26 河南牧业经济学院 Payment device and method based on face recognition
CN106919941A (en) * 2017-04-26 2017-07-04 华南理工大学 A kind of three-dimensional finger vein identification method and system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
"手掌静脉识别技术的创新与应用", 《中国安防》 *
汤永华等: "多光谱掌脉和掌纹离焦图像融合方法", 《数据采集与处理》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110458573A (en) * 2019-07-17 2019-11-15 江西拓世智能科技有限公司 A kind of biological method of payment identified based on face and palmmprint vena metacarpea
CN110598522A (en) * 2019-07-17 2019-12-20 江西拓世智能科技有限公司 Identity comparison method based on face and palm print palm vein recognition

Similar Documents

Publication Publication Date Title
CN102332093B (en) Identity authentication method and device adopting palmprint and human face fusion recognition
ES2741814T3 (en) Fingerprint and terminal unlock method
JP5012092B2 (en) Biometric authentication device, biometric authentication program, and combined biometric authentication method
Bartlow et al. Evaluating the reliability of credential hardening through keystroke dynamics
Martinez-Diaz et al. Graphical password-based user authentication with free-form doodles
CN104598796A (en) Method and system for identifying identity
Sudar et al. Analysis of security threats and countermeasures for various biometric techniques
CN103413078B (en) Based on two-layer on-line authentication system and the authentication method of user ID and person's handwriting
JP2003271965A (en) Program, method and device for authentication of hand- written signature
CN106709417A (en) Multimodal biological recognition system and use method thereof
Padma et al. A survey on biometric based authentication in cloud computing
CN108090415A (en) A kind of identity comparison method identified based on face and vena metacarpea
CN108647683A (en) It is a kind of that the character made an uproar is added to fight verification code generation method and system based on frequency domain
JP2007058683A (en) Authentication device
Sae-Bae et al. Emerging NUI-based methods for user authentication: A new taxonomy and survey
JP2012238256A (en) Biometric authentication device, biometric authentication method, and biometric authentication program
Garg et al. Fingerprint recognition using gabor filter
Goh et al. A framework for multimodal biometric authentication systems with template protection
CN103532956A (en) Biological information-based authentication method in cloud operation system
CN105024817B (en) A kind of identity identifying method and device
CN103440447A (en) Online handwriting identity authentication method with attacker identity recognition capability
CN1971471A (en) Realizing method of fingerprint notebook PC
CN102694653A (en) Method of logging into system through speech recognition and/or facial image recognition
Rozado Using gaze based passwords as an authentication mechanism for password input
US9922234B2 (en) Biometric identification method

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
AD01 Patent right deemed abandoned
AD01 Patent right deemed abandoned

Effective date of abandoning: 20230825