Facial image identification simulation system and method

A face image and face recognition technology, applied in the field of face image recognition, to achieve the effect of wide application prospects

Inactive Publication Date: 2015-08-12
HENAN UNIV OF URBAN CONSTR
View PDF4 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can solve the problem of obtaining sample images without contact with the target and using face images for identity verification. It can solve the identification and matching between the face database of the national security system and the fugitive database, and can solve various documents such as driver's licenses. , passpor

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
  • Facial image identification simulation system and method
  • Facial image identification simulation system and method
  • Facial image identification simulation system and method

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0029] The present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.

[0030] The face image recognition simulation system can generally be divided into four parts: face image acquisition and positioning, image preprocessing, image feature extraction, and face recognition. like figure 1 shown.

[0031] The face recognition simulation system runs on MATLAB, and the main flow chart of the system is as follows figure 2 shown. The main function is that when a face image is input, the system can find an image that is consistent with the face in the face image to be recognized from the pre-stored face database. First create a pre-stored face database, the database stores face images of the same size, you can select testers, each tester has several face images, and the expressions have certain changes. Create another face database to be recognized, and there is another face expression image of these testers ...

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 facial image identification simulation system and method. A main component analysis facial image identification simulation system and method based on MATLAB are adopted. The method comprises four parts: facial image acquisition and positioning, image preprocessing, image characteristic extraction and facial image identification. The method can realize that sample images can be obtained without contact with objects and identity verification can be performed by utilizing facial images, identification coupling between a national safety system face database and an escaped prisoner database can be realized, identity checking between various certificates such as a driver's license and a passport and actual certificate holders is available, identity verification of holders of various certificates such as a bank card, a finance card, a credit card and a deposit card and identity verification of social insurers are achieved, and master identity identification of intelligent toys and household robots in a household entertainment field is realized.

Description

technical field [0001] The invention belongs to the technical field of face image recognition, and in particular relates to a face image recognition simulation system and method. Background technique [0002] Since the 1970s, with the rise of artificial intelligence technology and the progress of human vision research, people have gradually invested a lot of enthusiasm in machine recognition of face images, and formed a research field of face image recognition. In addition to its great theoretical value, it is also of great practical value. [0003] In the research of artificial intelligence, what people have always wanted to do is to make machines have the same thinking ability as humans, as well as the ability to recognize and process things. The thinking mechanism of human beings, the mechanism of perceiving and processing things, and strive to use these mechanisms in practice, such as the development of various intelligent robots. It is against this background that the...

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
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/168G06F18/22
Inventor 刘晓芳米启超赵红梅贺伟杨帆卢亚鹏王丹阳樊晓虹张晓杰芦明
Owner HENAN UNIV OF URBAN CONSTR
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