Color Face Image Recognition Based on LBPT Method

Authors

Jihua Ye, College of Computer Information Engineering ,Jiangxi Normal University, Nanchang 330022, China;
Yahui Chen, College of Computer Information Engineering ,Jiangxi Normal University, Nanchang 330022, China;
Shimin Wang, College of Computer Information Engineering ,Jiangxi Normal University, Nanchang 330022, China;

Abstract

Abstract: Aiming to the shortcomings of exiting algorithm to obtain better color face image information for color facial image recognition, the LBPT algorithm was proposed to realize the high efficiency recognition of color face image. LBPT algorithm reflected the texture features of gray image through adaptively obtaining neighborhood radius, ascertaining the relationship between neighborhood radius and neighborhood pixel number, setting threshold. The RGB color model was used to separate the color face image into the R,G,B three component diagrams. The LBPT algorithm was used to obtain the feature of the component diagrams. In order to realize further recognition, the method of uncertainty was used to allocate weight to the feature of component diagrams and fuse them. Experiments show that the LBPT operator has certainly increased the recognition accuracy.

Recommended Citation

Ye, Jihua; Chen, Yahui; and Wang, Shimin (2020) "Color Face Image Recognition Based on LBPT Method," Journal of System Simulation: Vol. 28: Iss. 1, Article 22.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss1/22

First Page

160

Revised Date

2015-09-09

DOI Link

https://doi.org/

Last Page

166

CLC

TP311

Recommended Citation

Ye Jihua, Chen Yahui, Wang Shimin. Color Face Image Recognition Based on LBPT Method[J]. Journal of System Simulation, 2016, 28(1): 160-166.