TY - GEN
T1 - Gabor feature based face recognition using kernel methods
AU - Shen, Linlin
AU - Bai, Li
PY - 2004
Y1 - 2004
N2 - A novel Gabor-Kernel face recognition method is proposed in this paper. This involves convolving a face image with a series of Gabor wavelets at different scales, locations, and orientations. Kernel methods such as Kernel Principal Component Analysis (KPCA) and Kernel Discriminant Analysis (KDA) are then applied to the feature vectors for dimension reduction as well as class separability enhancement. A database of 600 frontal-view face images from the FERET face database is used to test the method. Experimental results demonstrate the advantage of Kernel methods over classical Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). Significant improvements are also observed when the Gabor filtered images are used for feature extraction instead of the original images. The Gabor + KDA method achieves 92% recognition accuracy using only 35 features of a face image.
AB - A novel Gabor-Kernel face recognition method is proposed in this paper. This involves convolving a face image with a series of Gabor wavelets at different scales, locations, and orientations. Kernel methods such as Kernel Principal Component Analysis (KPCA) and Kernel Discriminant Analysis (KDA) are then applied to the feature vectors for dimension reduction as well as class separability enhancement. A database of 600 frontal-view face images from the FERET face database is used to test the method. Experimental results demonstrate the advantage of Kernel methods over classical Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). Significant improvements are also observed when the Gabor filtered images are used for feature extraction instead of the original images. The Gabor + KDA method achieves 92% recognition accuracy using only 35 features of a face image.
UR - http://www.scopus.com/inward/record.url?scp=4544376937&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:4544376937
SN - 0769521223
SN - 9780769521220
T3 - Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition
SP - 170
EP - 176
BT - Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
T2 - Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
Y2 - 17 May 2004 through 19 May 2004
ER -