Title :
Face Recognition Based on Wavelet Transform and PCA
Author :
Wei, Li Xian ; Sheng, Yang ; Qi, Wang ; Ming, Li
Author_Institution :
Comput. & Commun. Coll., Hunan Univ., Changsha, China
Abstract :
A novel technique for face recognition is presented in this paper. wavelet transform, PCA and SVM are combined in this technique. wavelet transform is used for preprocessing the images in order to handle bad illumination. In recognition stage, support vector machine (SVM) is adopted as classifier. Experiments based on Cambridge ORL face database indicated that our approach can achieve better accuracy than use PCA only.
Keywords :
face recognition; principal component analysis; support vector machines; wavelet transforms; Cambridge ORL face database; PCA; SVM; face recognition; images preprocessing; principal component analysis; support vector machine; wavelet transform; Discrete wavelet transforms; Face recognition; Feature extraction; Lighting; Pattern recognition; Principal component analysis; Support vector machine classification; Support vector machines; Wavelet analysis; Wavelet transforms; face recognition; pca; svm; wavelet transform;
Conference_Titel :
Knowledge Engineering and Software Engineering, 2009. KESE '09. Pacific-Asia Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3916-4
DOI :
10.1109/KESE.2009.43
