Face Recognition Based on Covering Algorithm and PLS

Author

Song, Jie ; Cheng, Jiaxing ; Xu, Zhongwei

Author_Institution

Key Lab. of Intelligent Comput. & Signal Process. of Minist. of Educ., Anhui Univ., Hefei

Volume

2

fYear

0

fDate

0-0 0

Firstpage

10179

Lastpage

10183

Abstract

This paper proposes a new approach of human face recognition using partial least square (PLS) and covering algorithm. PLS constructs the component so that the correlation between the class variable and themselves maximized. Covering algorithm is a kind of neural network method. The approach first processes the image with wavelet transform, and then eliminates the redundant features with PLS. It reduces the dimension of image by extracting the principal features. Finally, classifies the image by covering algorithm

Keywords

face recognition; feature extraction; image classification; neural nets; covering algorithm; feature extraction; human face recognition; image classification; neural network; partial least square algorithm; Computer science education; Face recognition; Feature extraction; Frequency; Humans; Neural networks; Pattern matching; Pattern recognition; Signal processing algorithms; Wavelet transforms; Covering Algorithm; PLS; Pattern; Recognition; Wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713993

Filename

1713993