Title :
Face Recognition Combining 3-channel Filter Bank and 2DLDA
Author :
Zhang, Yuhua ; Wang, Xin
Author_Institution :
Sch. of Med., Dept. of Biomed. Eng., Shandong Univeristy, Jinan
Abstract :
In this paper, a novel 3-channel orthogonal filter bank was proposed at first, and then an efficient face recognition method combining the filter bank and 2DLDA (two-dimensional linear discriminant analysis) was presented. The framework of the proposed method consists of two steps: First, each face image was decomposed into nine sub images by using the 3-channel filter bank, and then 2DLDA was used to extract the features for face classification from the sub images. Better performance of the proposed method is confirmed by the Yale face database.
Keywords :
face recognition; feature extraction; filters; image classification; 2D linear discriminant analysis; 3-channel orthogonal filter bank; face classification; face image decomposition; face recognition; feature extraction; Biomedical engineering; Covariance matrix; Discrete wavelet transforms; Face recognition; Feature extraction; Filter bank; Image reconstruction; Linear discriminant analysis; Low pass filters; Principal component analysis; face recognition; multi-channel filter bank; two-dimensional LDA; wavelet transform;
Conference_Titel :
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3334-6
DOI :
10.1109/ICCET.2009.82
