DocumentCode :
469093
Title :
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
Link To Document :
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