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

Face recognition method based on local ternary pattern adaptive threshold

A local three-valued pattern and adaptive threshold technology, applied in the field of pattern recognition, can solve the problem that the threshold cannot take into account the differences between samples and the effect of timeliness.

Inactive Publication Date: 2014-05-07
CHONGQING UNIV OF POSTS & TELECOMM
View PDF2 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, LTP itself adopts a self-defined threshold, and needs to find and set the optimal threshold based on prior knowledge, which will affect the timeliness. At the same time, the threshold cannot take into account the differences between samples, and there is still a problem of universality

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 based on local ternary pattern adaptive threshold
  • Face recognition method based on local ternary pattern adaptive threshold
  • Face recognition method based on local ternary pattern adaptive threshold

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] A non-limiting embodiment is given below in conjunction with the accompanying drawings to further illustrate the present invention.

[0037] as attached figure 1 Shown, a kind of face recognition method based on LTP adaptive threshold comprises the following steps:

[0038] ① Extract the multi-layer LTP adaptive threshold (ε-LTP) eigenface of the face image

[0039] The samples in the experimental face database are divided into training set and test set, and LTP adaptive threshold (ε-LTP) eigenfaces are extracted from all samples. The steps of the extraction method are as follows:

[0040] 1) Divide the face image into blocks

[0041] In order to take into account the local feature information of the image, the preprocessed face image is divided into n equal blocks (the value of n is selected according to the size of the face image according to the experimental results), and the block method is as shown in the attached figure 1 Shown in the picture on the left. The ...

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 recognition method based on a local ternary pattern adaptive threshold, and pertains to the technical field of pattern recognition. The method comprises the following steps: at first, segmentation treatment is performed on face database images; epsilon-LTP characteristics in segmented regions are calculated for training set and test set images separately; the obtained epsilon-LTP characteristic matrix is decomposed into two layers including positive and negative pattern layers; information entropy weight is solved and obtained according to the characteristics of each layer; the characteristics of each layer are converted into the form of a weighted histogram by combining with the information entropy weight; the chi<2> (chi-square) distance function is adopted in the histogram to calculate the characteristic similarity between test samples and training samples; and classification recognition is performed on the test samples through a third-order neighbor classifier. The method of the invention has the advantage of good face recognition accuracy.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a face recognition method based on a local ternary pattern (LTP) adaptive threshold. Background technique [0002] In recent years, face recognition has made great progress in the fields of pattern recognition, image processing and analysis, and some face recognition systems have been put into practical use. Various face recognition methods are essentially looking for an effective face description method, but it is very difficult to find a description method that is not affected by various factors. Factors such as illumination changes, expression changes, and occlusion will affect the acquisition of face images, among which the interference caused by illumination changes is the most serious. In actual situations, affected by uncontrollable factors such as lighting, the face will undergo some nonlinear changes, and even the difference between the same person under dif...

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): G06K9/00G06K9/62
Inventor 李伟生王立逗周丽芳
Owner CHONGQING UNIV OF POSTS & TELECOMM
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