DocumentCode
375497
Title
Wavelet-based FLD for face recognition
Author
Lee, W.S. ; Lee, H.J. ; Chung, J.H.
Author_Institution
Dept. of Electron. Eng., Inha Univ., Inchon, South Korea
Volume
2
fYear
2000
fDate
2000
Firstpage
734
Abstract
We introduce, in this paper, a face recognition method which employs the wavelet-based FLD (Fisher Linear Discriminant). This paper deals with accuracy as well as facial speed for face recognition. An image of 128×128 is decomposed to sub-images with 16×16 resolution by wavelet transform. Then two sub-images of low and mid-range frequency bands are trained and used to recognize faces. Experimental results show that the proposed algorithm is faster maintaining the recognition rate of original FLD method. Our experiments, the computational time is reduced by factor of about 6
Keywords
face recognition; wavelet transforms; 128 pixel; Fisher Linear Discriminant; face recognition algorithm; image decomposition; wavelet transform; Face recognition; Filter bank; Frequency; Image recognition; Image resolution; Principal component analysis; Signal resolution; Vectors; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on
Conference_Location
Lansing, MI
Print_ISBN
0-7803-6475-9
Type
conf
DOI
10.1109/MWSCAS.2000.952861
Filename
952861
Link To Document