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

Method of face recognition software system

A technology of face recognition and software system, applied in the field of face recognition, can solve the problems of extremely difficult machine recognition of faces, and achieve the effects of convenient deletion, good scalability and high management efficiency

Inactive Publication Date: 2012-12-12
CHANGZHOU LENCITY INFORMATION TECH
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although humans can easily recognize faces and even expressions, machine recognition of faces is a very difficult subject

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 of face recognition software system
  • Method of face recognition software system
  • Method of face recognition software system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

[0024] A method for a face recognition software system. Firstly, user information is collected, and the collected data is trained to realize face recognition. The specific steps are as follows:

[0025] a. System framework

[0026] Divide the system into four sub-windows, such as figure 1 As shown, window 1 is the camera display. When the camera is turned on, the user can see the real-time images captured by the camera in this window. In addition, when the face detection function is turned on, the detected face will be dynamically are indicated by a red box;

[0027] Window 2 is the user profile area, where the names, gender, identities and grades of all us...

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 of a face recognition software system. The method comprises the steps of collecting user information and training collected data to achieve face recognition. The method particularly comprises the steps of a. system frameworks; and b. system functions including (1) program achievement of user management, (2) program achievement of identification and (3) program achievement of video management. The method of the face recognition software system is easy to operate due to hommization design of interfaces, brings convenience to adding, entering and deleting of users and is high in database management efficiency. A recognition rate can achieve 100% when environmental changes are not big. Modularization programming is used, expandability is good and further functions can be added in the future.

Description

technical field [0001] The invention relates to the field of face recognition, in particular to a method of a face recognition software system. Background technique [0002] Biometric technology refers to the technology of identifying through digital measurement of human body characteristics, including fingerprints, faces, voices, iris, palm prints and other characteristics can be used for identity recognition. Face recognition technology is an important topic in biometric technology, and it is a very active research direction at present. Compared with using other biometrics for identification, face recognition has the advantages of directness, convenience, friendliness, and non-invasiveness, so it has extremely broad application prospects. [0003] Although humans can easily recognize faces and even expressions, machine recognition of faces is a very difficult subject. First of all, the face is a three-dimensional non-rigid irregular surface; secondly, the face will chang...

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): G06F9/44
Inventor 吴军
Owner CHANGZHOU LENCITY INFORMATION TECH
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