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
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;
Conference_Titel :
Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on
Conference_Location :
Lansing, MI
Print_ISBN :
0-7803-6475-9
DOI :
10.1109/MWSCAS.2000.952861
