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

Face authentication method and device

An authentication method and authentication device technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of low authentication accuracy, and achieve the effect of improving accuracy and reducing computational difficulty.

Active Publication Date: 2016-03-30
BEIJING EYECOOL TECH CO LTD +1
View PDF7 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These three methods are easily affected by factors such as lighting, posture, and expression, and the authentication accuracy is low.

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 authentication method and device
  • Face authentication method and device
  • Face authentication method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0026] On the one hand, the present invention provides a face authentication method, such as figure 1 shown, including:

[0027] Step S101: Obtain a face image sample pair;

[0028] Face image sample pair: In the process of face authentication, the face image detected in real time is usually compared with the face image in the existing database 1:1. This process is called authentication, and in the comparison The two face images processed in the process (that is, including a real-time image and a library image) are called a face sample pair.

[0029] In this step, according to different usage environments, the image sample pair can be composed of face images collected in real time and face images stored in the database, or can be composed of two face i...

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 face authentication method and device and belongs to the field of image processing and mode identification. The method comprises the steps of: obtaining face image sample pairs; carrying out blocking on the obtained face image sample pairs; calculating local gray scale characteristic vectors and local direction gradient histogram HOG vectors of obtained blocks; and according to the calculated local gray scale characteristic vectors and local direction gradient histogram HOG vectors, calculating and judging whether the face image sample pairs belong to one person. By adopting the face authentication method and device, the interference of factors such as illumination, expression and age is effectively avoided, and simultaneously, the accuracy of face authentication is substantially improved.

Description

technical field [0001] The invention relates to the field of image processing and pattern recognition, in particular to a face authentication method and device. Background technique [0002] As people pay more attention to the security and concealment of information, identity authentication technology becomes more and more important. Traditional identity authentication methods, such as ID cards and passwords, are cumbersome to use, and the biggest shortcoming is that they cannot distinguish between the owner and the imposter. Biological characteristics are inherent to human beings, and are unique and difficult to replicate. Therefore, research on biometric recognition is of great significance. Among them, the advantages of face recognition include: no need for user cooperation; non-contact characteristics; simple implementation of equipment; and traceability. Due to the above advantages of face recognition, this technology has a wide range of application scenarios. In soci...

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
CPCG06V10/40G06V40/172
Inventor 郇淑雯朱和贵张祥德
Owner BEIJING EYECOOL TECH CO LTD
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