Face recognition based on wavelet packet decomposition and support vector machines

Author

Cui, Li-min ; Tang, Yuan-yan ; Liao, Fu-cheng ; Du, Xiu-feng

Author_Institution

Hong Kong Baptist Univ., Hong Kong

Volume

3

fYear

2007

fDate

2-4 Nov. 2007

Firstpage

1437

Lastpage

1441

Abstract

Automated face detection and recognition is one of the most attentional branches of biometrics and it is also the one of the most active and challenging tasks for computer vision and pattern recognition. This paper present a method for face recognition based on wavelet packet decomposition and SVMs. The experiments show that the method has good performance and reduce the greatly computation.

Keywords

computer vision; face recognition; support vector machines; wavelet transforms; SVM; automated face detection; biometrics; computer vision; face recognition; pattern recognition; support vector machines; wavelet packet decomposition; Face recognition; Feature extraction; Independent component analysis; Kernel; Linear discriminant analysis; Pattern recognition; Principal component analysis; Support vector machines; Wavelet analysis; Wavelet packets; SVMs; face recognition; multi-class classification; wavelet packet decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1065-1

Electronic_ISBN

978-1-4244-1066-8

Type

conf

DOI

10.1109/ICWAPR.2007.4421661

Filename

4421661