Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Corneal reflection and optical coding-based human face living body detecting method and system

A technology of optical coding and corneal reflection, which is applied in the field of corneal image processing and analysis, can solve the problems of difficult extraction of corneal reflection information, and achieve the effect of resisting general attacks, low image processing and analysis, and difficult extraction

Active Publication Date: 2018-10-12
PEKING UNIV
View PDF7 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the bright and dark states of the cornea are easier to extract than the specific and subtle image information content in the cornea, it solves the problem of difficult extraction of corneal reflection information

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Corneal reflection and optical coding-based human face living body detecting method and system
  • Corneal reflection and optical coding-based human face living body detecting method and system
  • Corneal reflection and optical coding-based human face living body detecting method and system

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0048] image 3 Shown is the flow process of the method provided by the present invention. The specific embodiment of the present invention is as follows:

[0049] 1) The user uses a face recognition device for face recognition, the camera is facing the face and keeps an appropriate distance, and the eyes are kept open. At the same time, place a password display device such as a display or an indicator light on the side of the camera, so that it can be easily seen by the eyes;

[0050] Face recognition devices can include mobile phones, tablets, notebooks, and face recognition punch cards.

[0051] 2) Before the password display device sends the password information, the camera is turned on, and the face video is recorded in the form of video recording.

[0052] 3) The password display device randomly generates a string of binary passwords, and according to the law that light represents 1 and dark represents 0, the screen or indicator light changes from light to dark, and r...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a corneal reflection and optical coding-based human face living body detecting method and system, belongs to the security technical field of resisting human face recognition attacks and particularly relates to the processing and the analysis of corneal images. The method comprises the steps of representing each piece of binary password information by using brightness or darkness of light through an optical coding mode and reflecting the brightness and darkness change by a cornea; and obtaining corneal reflection information by extracting the brightness and darkness information of a corneal image and realizing the human face living body detection through information comparison. The method disclosed by the invention has the advantages that only the brightness and darkness information of the corneal image needs to be extracted and the problem that the corneal reflection information is difficult to extract can be solved; the method has very low requirements on camera pixels and later image processing and analysis, so that the method is easy to realize, economical and effective; and the method has very high security and common attacks of face recognition can be resisted.

Description

technical field [0001] The invention provides a face detection method and system based on corneal reflection and optical encoding, which belongs to the field of security technology against face recognition attacks, and specifically relates to the processing and analysis of corneal images. Background technique [0002] With the development of artificial intelligence technology, face recognition technology is becoming more and more advanced. This technology has developed very mature and practical, and has been widely used in various fields. For example, in the field of public security, the public security system can quickly identify faces and identify and identify criminal suspects by analyzing face images from surveillance cameras in public places such as bank halls and conference venues. At the entrances of customs, ports, museums and confidential departments, face recognition is used to check whether the identity of the certificate holder matches. For example, in the fiel...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/197G06V40/193G06V40/19G06V40/45
Inventor 文伟平吴勃志孙惠平
Owner PEKING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com