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

Method and system for recognizing human face

A face recognition system and face recognition technology, applied in the field of biometric recognition, can solve the problems of complex calculation, expensive speed, limited, etc., to achieve high correct recognition rate, efficient storage and recognition, and effective and efficient face recognition scheme Effect

Inactive Publication Date: 2009-02-25
IATOPIA COM
View PDF0 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But this progress is not only limited, but also computationally complex, expensive and slow

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
  • Method and system for recognizing human face
  • Method and system for recognizing human face
  • Method and system for recognizing human face

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The present invention will be further described below in conjunction with accompanying drawing and embodiment:

[0059] As shown in Figure 1, the face recognition system of the present invention mainly includes two subsystems, one is a client subsystem 100 located at a client (such as a client's desktop computer, a security access point, etc.), and the other is located at a server ( Such as the server terminal system 300 of an online shopping mall, a security control center, etc.). The client subsystem 100 and the server subsystem 300 are connected through a wired or wireless network, for example, the two communicate and transfer information through the Internet 200 .

[0060] There are two types of intelligent agents running in the face recognition system of the present invention. The client subsystem 100 further includes a face detection module 104 , an active contour model module 106 , a Gabor feature extractor 108 and a client communication module 110 . Wherein, t...

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 method and a system for recognizing the human face. The method comprises the following steps: a human face which is captured in an image is detected; the profile of the human face is extracted from the detected human face, and a plurality of human face mark feature vectors are obtained; a dynamic-link attribute graph is generated according to the obtained human face mark feature vectors; and the comparison of the generated attribute graph and the attribute graph in a human face database is carried out to determine whether the two are matched or not. The system comprises a server subsystem and one or more client subsystems. The system is a full-automatic and intelligent human face detection and verification system. The method adopts a dynamic-link model of the human face profile graph to realize the efficient storage and recognition of the human face graph, so as to achieve the high correct recognition rate.

Description

technical field [0001] The present invention relates to biological feature recognition technology, more specifically, relates to an intelligent face recognition method and system. Background technique [0002] The traditional authentication scheme adopts a mechanism in which a user logs in with a user name and a password through a secure transport layer such as an SSL protocol. Although this mechanism can provide a secure user authentication scheme, this mechanism requires users to log in to the user system before they can gain access. This process reduces the availability of the system, especially when the customer forgets the user name and password. User-friendliness of online shopping sites. Authentication mechanisms using digital signatures appear to offer a viable solution, but there are potential drawbacks to this technique. First, digital certificates need to be stored on the user's PC or laptop, which affects mobility. Although the newly developed smart cards can ...

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): G06K9/00H04L9/32H04L29/06
Inventor 李树德
Owner IATOPIA COM
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