Title :
Bayesian Face Recognition Using Wavelet Transform
Author :
Liping, Niu ; XinYuan, Li ; Yuqiang, Dou
Author_Institution :
Coll. of Comput. & Inf. Technol., Henan Normal Univ., Xinxiang, China
Abstract :
A novel hybrid approach based on Bayesian and wavelet transform for face recognition is proposed. Firstly the system uses PCA to select the first 10 candidate images, secondly these candidate images and each testing image are decomposed into low frequency and high frequency sub-band images by applying wavelet transform, Bayesian recognition is parallel processed using these sub-band images. The face recognition result was gained through weigh-adding arraying. Its efficiency and superiority are clarified by comparative experiment on a subset of AR and FERET face data.
Keywords :
Bayes methods; face recognition; principal component analysis; wavelet transforms; AR subset database; Bayesian recognition; FERET face data; PCA; face recognition; high frequency sub-band images; image decomposition; low frequency sub-band images; principal component analysis; wavelet transform; Bayesian methods; Databases; Discrete wavelet transforms; Face recognition; Frequency; Image recognition; Pattern recognition; Principal component analysis; Testing; Wavelet transforms; Face recognition;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
Conference_Location :
Hangzhou, Zhejiang
Print_ISBN :
978-0-7695-3752-8
DOI :
10.1109/IHMSC.2009.201
