DocumentCode :
3429417
Title :
Face Recognition Using Multiscale Gabor Wavelet
Author :
Huang, Lin ; Zhang, Wenjing
Author_Institution :
Florida Atlantic Univ., Boca Raton
fYear :
2007
fDate :
22-24 Aug. 2007
Firstpage :
280
Lastpage :
283
Abstract :
This paper proposes and analyzes multiscale Gabor wavelet and eigenface method for face recognition. The face images are processed by using one-dimensional (1D) filter masks to extract the Gabor features without two-dimensional (2D) Fourier transform. The results of analysis and experiments show that the computational cost and the storage amount of Gabor features in PGE method are significantly lower than the ones in general 2D Gabor wavelet methods with a comparable recognition rate.
Keywords :
Gabor filters; eigenvalues and eigenfunctions; face recognition; feature extraction; wavelet transforms; 1D filter masks; Gabor features extraction; face recognition; pyramidal Gabor wavelet eigenface; Computational efficiency; Face recognition; Feature extraction; Filtering; Fourier transforms; Frequency; Gabor filters; Image representation; Wavelet analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Computers and Signal Processing, 2007. PacRim 2007. IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
978-1-4244-1189-4
Electronic_ISBN :
1-4244-1190-4
Type :
conf
DOI :
10.1109/PACRIM.2007.4313229
Filename :
4313229
Link To Document :
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