Supercharge Your Innovation With Domain-Expert AI Agents!

Face recognition method and face recognition system

A technology of face recognition and face recognition, which is applied in the field of face recognition and face recognition systems, and can solve problems such as missing valid features, discarding, and poor results

Active Publication Date: 2010-06-30
智慧眼科技股份有限公司
View PDF0 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods either randomly select features, discard some features, and lose effective features. Moreover, PCA is a method based on data representation and is not designed for classification problems. In short, PCA dimensionality reduction The latter features are not the most effective features for classification
[0008]Therefore, a technical problem that needs to be urgently solved by those skilled in the art is: how to innovatively propose a face recognition algorithm that is faster and has better processing effect , to solve the problem that the processing speed is too slow and the effect is not good in the prior art

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 recognition method and face recognition system
  • Face recognition method and face recognition system
  • Face recognition method and face recognition system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0087] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0088] refer to figure 1 , which shows a flow chart of an embodiment of a face recognition method of the present invention, which may specifically include the following steps:

[0089] Step 101, divide the human face sample image into a plurality of overlapping and different-sized sub-regions, the human face sample image is a preprocessed fixed-sized human face image;

[0090] Step 102, extracting texture features of the sub-region;

[0091] Step 103, selecting effective texture features from the texture features according to preset rules, and obtaining the projected feature values ​​of the effective texture features;

[0092] Step 104, performing face recognition according to the projected feature values ​​of each sub-region. ...

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 provides a face recognition method. The method includes the steps of dividing a pretreated face sample image in fixed size into a plurality of superposed sub-regions in different sizes, extracting texture characteristics of the sub-regions, selecting the effective texture characteristics according to the preset rules, obtaining projection characteristic values of the effective texture characteristics, and carrying out face recognition according to the projection characteristic values of the sub-regions. The invention can improve the processing speed and the recognizing effect offace recognition.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a face recognition method and a face recognition system. Background technique [0002] The identity authentication technology based on biometric features has an increasingly important position and role in social life. Among a variety of biometric authentication methods, recognition and authentication based on human facial features have received widespread attention and attention due to their advantages of non-invasiveness, low cost, good concealment, and no need for special cooperation from the subject, and have a wide range of applications. prospect. [0003] In terms of functions, face recognition can be divided into two types: face recognition (FaceIdentification) and face verification (FaceVerification). Face recognition refers to comparing one or more face images to be identified with the face images of all people stored in the database, determining the most si...

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
Inventor 邱建华
Owner 智慧眼科技股份有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com