Title :
A robust wavelet based feature extraction method for face recognition
Author :
Makaremi, Iman ; Ahmadi, Majid
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada
Abstract :
In this paper, we propose a wavelet based feature extraction method with a high tolerance to white Gaussian noise. This method is also computationally efficient. Along with an HMM classifier, this method is used for face recognition. High recognition rates in the presence of white Gaussian noises with different variances show this technique as a promising feature extraction method.
Keywords :
AWGN; face recognition; feature extraction; hidden Markov models; wavelet transforms; HMM classifier; face recognition; hidden Markov model; robust wavelet based feature extraction method; white Gaussian noise; Face recognition; Feature extraction; Fourier transforms; Gaussian noise; Hidden Markov models; Low-frequency noise; Multiresolution analysis; Noise robustness; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346252
