Abstract: Kernel Foley-Sammon Discriminant Analysis （KFSDA） is extensively applied on the field of pattern recognition with the capacity of extracting nonlinear orthonormal features from original samples. But each eigenvector should be achieved by calculating the c

Key words: Kernel Foley-Sammon discriminant analysis, Feature extraction, Face recognition