A Comparative Study of 2D PCA Face Recognition Method with Other Statistically Based Face Recognition Methods

M.A. Turk, A.P. Pentland, Eigenfaces for recognition. J. Cogn. Neurosci. 3(1), 71–96 (1991)

M.A. Turk, A.P. Pentland, Face recognition using Eigenfaces, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 586–591, (1991)

M.H. Yang, Kernel Eigenfaces vs. Kernel Fisherfaces: face recognition using Kernel methods, in Proceedings of Fifth IEEE Int’l Conference Automatic Face and Gesture Recognition (AFGR’02), pp. 215–220 (2002)

D.L. Swets, J. Weng, Using discriminant Eigenfeatures for image retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 18(8), 831–836 (1996)

P. Belhumeur, J. Hespanha, D. Kriegman, Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 711–720 (1997)

M.S. Bartlett, J.R. Movellan, T.J. Sejnowski, Face recognition by independent component analysis. IEEE Trans. Neural Netw. 13(6), 1450–1464 (2002)

J. Yang, D. Zhang, A.F. Frangi, J. Yang, Two-dimensional PCA: a new approach-based face representation and recognition. IEEE Trans. Pattern Anal. Mach. Intell. 26(1), 131–137 (2004)

ORL Face Database, The database of faces, Digital Technology Group, Cambridge University Computer Laboratory. http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html

Yale Face Database, Computer Vision Laboratory, Computer Science Engineering Department of UCSD. http://vision.ucsd.edu/datasets/

Senthil Face Database, Senthilkumar face database (ver1.0). http://www.face-rec.org/databases/