DocumentCode
2290613
Title
Wavelet-based PCA for human face recognition
Author
Yuela, P.C. ; Dai, D.Q. ; Feng, G.C.
Author_Institution
Dept. of Comput. Studies, Hong Kong Baptist Univ., Hong Kong
fYear
1998
fDate
5-7 Apr 1998
Firstpage
223
Lastpage
228
Abstract
This paper addresses the speed and accuracy problems in human face recognition. The wavelet transform is adopted to decompose an image and a particular frequency band is selected for principal component analysis (PCA) for face recognition. Experimental results show that the proposed method is better than the original PCA method in terms of both speed and accuracy
Keywords
face recognition; wavelet transforms; K-L transform; accuracy; experimental results; frequency band; human face recognition; image decomposition; principal component analysis; speed; wavelet transform; wavelet-based PCA; Computational efficiency; Face recognition; Frequency; Humans; Image databases; Image recognition; Karhunen-Loeve transforms; Pixel; Principal component analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Interpretation, 1998 IEEE Southwest Symposium on
Conference_Location
Tucson, AZ
Print_ISBN
0-7803-4876-1
Type
conf
DOI
10.1109/IAI.1998.666889
Filename
666889
Link To Document