Title :
Combined Face Recognition Using Wavelet Transform and Bayesian
Author :
Liping, Niu ; Yanbin, Zheng ; Yuqiang, Dou ; XinYuan, Li
Author_Institution :
Coll. of Comput. & Inf. Technol., Henan Normal Univ., Xinxiang, China
Abstract :
A novel Bayesian approach to face recognition based on wavelet transform is proposed. The original image is decomposed into low frequency and high frequency sub-band images by applying wavelet transform, the 2DPCA algorithm is used to compute the eigenvector space of the face. Firstly Bayesian approach is used to the low frequency sub-band, select the top 10 candidate images for matching in the post processing stage, secondly Bayesian recognition is parallel processed using these high frequency 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 FERET face data.
Keywords :
Bayes methods; eigenvalues and eigenfunctions; face recognition; image matching; parallel processing; principal component analysis; wavelet transforms; 2DPCA algorithm; Bayesian approach; eigenvector space; face recognition; image matching; parallel processing; principal component analysis; wavelet transform; Bayesian methods; Covariance matrix; Discrete wavelet transforms; Face recognition; Feature extraction; Frequency; Image databases; Image recognition; Principal component analysis; Wavelet transforms; 2DPCA; Bayesian theory; Face recognition; Wavelet Transform;
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
DOI :
10.1109/ICIC.2009.196
