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

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

136

Lastpage

138

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Engineering and Software Engineering, 2009. KESE '09. Pacific-Asia Conference on

Conference_Location

Shenzhen

Print_ISBN

978-0-7695-3916-4

Type

conf

DOI

10.1109/KESE.2009.43

Filename

5383600

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=511139