Vivo detection based face recognition method and face recognition system

A face recognition and face recognition technology, applied in the field of face recognition, can solve problems such as poor user experience, and achieve the effects of meeting recognition accuracy, improving recognition efficiency, and good user experience

Active Publication Date: 2016-11-23
CHINA UNIONPAY
View PDF5 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The currently commonly used liveness detection technology mainly requires users to perform actions such as opening their mouths, raising their heads, and shaking their brains according to specific requirements, which does not give users a very good experience.

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
  • Vivo detection based face recognition method and face recognition system
  • Vivo detection based face recognition method and face recognition system
  • Vivo detection based face recognition method and face recognition system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] Such as figure 1 As shown, the first embodiment of the present invention provides a face recognition method combined with living body detection technology, which includes the following steps:

[0016] Step S10 , extracting several frames from the first video, identifying images of human face regions respectively, and composing a second video with corresponding images of human face regions.

[0017] Specifically, the first video is a video obtained by recording a human face, and all or most of the frames include human face images.

[0018] In this step, the face area (region of interest) in each frame in the first video is identified by the face detection algorithm, and then the second video is composed of the corresponding face area images in each frame. Usually, the size of the face area is about 60% of the width of the frame image in the first video, and about 80%-100% of the height. Obviously, the second video contains significantly less data than the first video. ...

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. The method includes: extracting a plurality of frames from a first video, respectively recognizing face region images, and combining to form a second video; subjecting the second video to eulerian video magnification; respectively performing RGB (red green blue) channel separation aiming at each frame of images in the second video, and respectively calculating a gray scale statistic value of each pixel in three single-channel images to form three signal sequences corresponding to the second video; respectively performing normalization processing of the three signal sequences; performing FFT (fast Fourier transform) on the three normalized signal sequences, and respectively calculating corresponding power spectral density; respectively determining whether maximum power spectral density of the three normalized signal sequences corresponds to identical or similar frequency or not, and if yes, verifying to pass the first video. The face recognition method has advantages that on the premise of meeting recognition accuracy, recognition efficiency can be effectively promoted while better user experience can be provided for users.

Description

technical field [0001] The invention relates to the technical field of face recognition. Background technique [0002] At present, in security systems, access control systems, and mobile devices such as computers and mobile phones, face recognition technology is widely used to identify users and protect user information security. Face recognition is used in more and more identification and real-name authentication occasions. get applied. [0003] However, criminals use fake face images to try to pass the verification, which brings serious challenges to the current face recognition technology. [0004] In this regard, face recognition technology is usually combined with liveness detection technology to prevent counterfeiting by using face pictures or face models. Currently commonly used liveness detection technology mainly requires the user to perform actions such as opening the mouth, raising the head, and shaking the brain according to specific requirements, which does no...

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): G06K9/00G06K9/32G06T7/40G06K9/40
CPCG06T2207/10016G06T2207/30201G06T2207/20056G06T2207/20024G06V40/164G06V40/45G06V10/255G06V10/30
Inventor 万四爽华锦芝何朔张莉敏
Owner CHINA UNIONPAY
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
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap