Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Face recognition method with living body detection function

A face recognition and living body detection technology, applied in the field of face recognition, can solve the problems of low accuracy and complex calculation, and achieve the effect of improving reliability and security

Pending Publication Date: 2020-01-17
DONGHUA UNIV
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

According to the survey, the more traditional blink detection method is usually based on the change in the ratio of the white part of the eye to the eye before and after the blink. The calculation of this method is relatively complicated and the accuracy is not high.

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
  • Face recognition method with living body detection function
  • Face recognition method with living body detection function
  • Face recognition method with living body detection function

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0020] Embodiments of the present invention relate to a face recognition method with a living body detection function, such as figure 1 As shown, it includes the following steps: use an image acquisition device to detect the face of the acquired image, when a face is detected, perform blink detection in the face area, and judge whether the detected face is a living body; When the face is a living body, use the face recognition...

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 relates to a face recognition method with a living body detection function, and the method comprises the following steps: carrying out the face detection of an obtained image through image obtaining equipment, carrying out the blink detection in a face region when a face is detected, and judging whether the detected face is a living body or not; and when the detected human face is aliving body, recognizing the human face by using a human face recognition model. The method is simple in calculation and easy to implement, and the reliability and safety of face recognition are improved by adding a layer of protection mechanism.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a face recognition method with a living body detection function. Background technique [0002] Identity authentication has always been an important link in all aspects of human life, especially in the rapidly developing modern society, "fast, convenient and safe" has become synonymous with contemporary society. With the rapid development of computer vision technology and artificial intelligence, today's daily commuting punch card system, access control system, etc., identity authentication technology has undergone earth-shaking changes. From fingerprint recognition, iris recognition, to face recognition, the accuracy of identity authentication methods is getting higher and higher, and due to cost and stability considerations, face recognition is most in line with public recognition. Face recognition can be recognized remotely, avoiding contact recognition similar to fin...

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
CPCG06V40/166G06V40/171G06V40/193G06V40/19G06V40/45
Inventor 陈付刚钱素琴韩潇
Owner DONGHUA UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products