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
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;
Conference_Titel :
Image Analysis and Interpretation, 1998 IEEE Southwest Symposium on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-4876-1
DOI :
10.1109/IAI.1998.666889
