Journal Title : International Journal of Modern Trends in Engineering and Science
Author’s Name : K.Ramya Priya
Volume 01 Issue o3 March 2014
ISSN no: 2348-3121
Page no: 34-38
Abstract –Illumination variation generally causes performance degradation of face recognition systems under real life environments. So a new technique called an illumination robust face recognition system using a fusion approach based on efficient facial feature called differential two-dimensional principal component analysis (D2D-PCA) for consumer applications. In the proposed method, face images are divided into two sub-images to minimize illumination effects, and D2D-PCA is separately applied to each sub-images. The individual matching scores obtained from two sub-images are then integrated using a weighted-summation operation, and the fused-score is utilized to classify the unknown user. This helps the user to authenticate, correct person even though illumination occurs.
Keywords— Illumination, Face recognition, component analysis.
 N. B. Kachare and V. S. Inamdar, “Survey of face recognition techniques”, International Journal of Computer Applications, Vol. 1, No.1, pp. 29-33, (2010).
 Z. Fei and Peter H. N. de With, “Real-time embedded face recognition for smart home”, IEEE Transactions on Consumer Electronics, Vol. 51, No. 1, (2005).
 K.H.An and M.J.Chung, “Cognitive Face Analysis System for Future Interactive TV”, IEEE Transactions on Consumer Electronics, Vol. 55, No. 4, pp. 2271-2279, (2009).
 M.Turk and A.Pentland, “Eigenfaces for recognition”, Journal of Cognitive Neurosci, Vol. 3, No. 1, pp. 71-86, (1991).
 P.N.Belhumeur, J.P.Hespanha, and D.J.Kriegman, “Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 7, pp. 711-720, (1997).
 M.S.Bartlett, J.R.Movellan, and S.Sejnowski, “Face recognition by independent component analysis”, IEEE Transactions on Neural Networks, Vol. 13, No. 6, pp. 1450-1464, (2002).
 Y.Jian, Z.David, F. Alejandro, and J. Y. Yang, “Two-dimensional PCA: A new approach to appearance-based face representation and recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 1, pp. 131-137, (2004).