Face Recognition using Principle Component Analysis for Biometric Security System
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2013 by IJETT Journal|
|Year of Publication : 2013|
|Authors : Raman Kumar , Satnam Singh|
Raman Kumar , Satnam Singh. "Face Recognition using Principle Component Analysis for Biometric Security System". International Journal of Engineering Trends and Technology (IJETT). V4(9):3771-3773 Sep 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.
Face recognition is an application area where computer vision research is utilized in both military and commercial products. It is a process of identifying or verifying a person from an image and comparing the selected features from the image with a given database. This paper provides a critical survey of researches on image - based face recognition. The principle Component Analysis (PCA) technique of face recognition are comprehensively reviewed and discussed. Their strategies, advantages/disadvantages and performances are elaborated.
 M.S. Bartlett, J.R. Movellan, T.J. Sejnowski, Face recognition by independent component analysis, IEEE Trans. Neural Network 13 (6) (2002) 1450 – 1464.
 P.N. Belhumeur, J.P. Hespanha, D.J. Kriegman, Eigenfaces vs. Fisherfaces: recognition using class specific linear projection,, IEEE Trans. Pattern Anal. Mach. Intell. 19 (7) (1997) 711 – 720.
 X. He, S. Yan, Y. Hu, P. Niyogi, H. - J. Zhang, Face recognition using Laplacian faces, IEEE Trans. Patt ern Anal. Mach. Intell. 27 (3) (2005) 328 – 340.
 Y. Gao, M.K.H. Leung, “ Face recognition using line edge map ” , IEEE Trans. Pattern Anal. Mach. Intell. 24 (6) (2002) 764 – 779.
 M. Kirby, L. Sirovich, “Application of the Karhunen – Loève procedure for the charact erization of human face”, IEEE Trans. Pattern Anal. Mach. Intell. 12 (1) (1990) 103 – 108.
 S. - H. Lin, S. - Y. Kung, L. - J. Lin, Face recognition/detection by probabilistic decision - based neural network, IEEE Trans. Neural Network 8 (1) (1997) 114 – 132.
 S. Chen , X. Tan, Z. - H. Zhou, F. Zhang, Face recognition from a single image per person: a survey, Pattern Recognition 39 (9) (2006) 1725 – 1745.
 W. Zhao, R. Chellappa, P.J. Phillips, A. Rosenfeld, Face recognition: a literature survey, ACM Comput. Surv. 35 (4) (200 3) 399 – 459.
 S.J.D. Prince, J. Warrell, J.H. Elder, F.M. Felisberti, Tied factor analysis for face recognition across large pose differences, IEEE Trans. Pattern Anal. Mach. Intell. 30 (6) (2008) 970 – 984.
 V. Blanz, T. Vetter, Face recognition based on fitti ng a 3D morphable model, IEEE Trans. Pattern Anal. Mach. Intell. 25 (9) (2003) 1063 – 1074.
 R. Gross, I. Matthews, S. Baker, Appearance - based face recognition and light - fields, IEEE Trans. Pattern Anal. Mach. Intell. 26 (4) (2004) 449 – 465.
 A.S. Georghiades, P.N. Belhumeur, D.J. Kriegman, From few to many: illumination cone models for face recognition under variable lighting and pose, IEEE Trans. Pattern Anal. Mach. Intell. 23 (6) (2001) 643 – 660 .
PCA, Face Recognition, Eigen face, Eigen value