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Robust Face Recognition Using Eigen Faces and Karhunen-Loeve Algorithm

Authors: Parvinder S. Sandhu, Iqbaldeep Kaur, Amit Verma, Prateek Gupta

Abstract:

The current research paper is an implementation of Eigen Faces and Karhunen-Loeve Algorithm for face recognition. The designed program works in a manner where a unique identification number is given to each face under trial. These faces are kept in a database from where any particular face can be matched and found out of the available test faces. The Karhunen –Loeve Algorithm has been implemented to find out the appropriate right face (with same features) with respect to given input image as test data image having unique identification number. The procedure involves usage of Eigen faces for the recognition of faces.

Keywords: Eigen Faces, Karhunen-Loeve Algorithm, FaceRecognition.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1081371

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References:


[1] Turk, M., Pentland, A., "Eigenfaces for recognition", J. Cognitive Neuroscience, 3 (1991), pp. 71-86.
[2] Belhumeur, P., Hespanha, J., Kriegman, D., "Eigenfaces vs. Fisherfaces: recognition using class specific linear projection", IEEE Transactions on Pattern Analysis and Machine Intelligence, 19 (1997) , pp. 711-720.
[3] Tolba, El-Baz, El-Harby, "Face Recognition - A Literature Review", International Journal of Signal Processing, vol. 2, no. 2, 2005, pp. 88- 103.
[4] M. Turk and A. Pentland, "Eigenfaces For Recognition", Journal of Cognitive Neuroscience, vol. 3, 1991, pp.71-86.
[5] Turk, Pentland, "Face Recognition Using Eigen Faces", In Proceedings of Computer Vision and Pattern Recognition, IEEE, June 1991, pp. 586- 591.
[6] http://scien.stanford.edu/class/ee368/projects2001/dropbox/project16/
[7] http://www.irc.atr.jp/%7Emlyons/pub_pdf/fg98-1.pdf
[8] http://www.kasrl.org/jaffe.html
[9] S. Zeki, "The Visual Image in Mind and Brain", Scient. American, 1992, pp. 43-50.
[10] R. Baron, "Mechanisms of human facial recognition", Int. J. Man- Machine Studies, Vol. 15, 1981, pp. 137-178.
[11] C. Liu, "Statistical And Evolutionary Approaches For Face Recognition", Ph.D. Dissertation, Geo. Mason Uni, 1999.
[12] Y. Cui and J. Weng, "A Learning-Based Prediction-and-Verification Segmentation Scheme for Hand Sign Image Sequance", IEEE Trans. on Patt. Ana. and Mach. Intell., vol. 21, 1999, pp. 798-804.
[13] S. J. McKenna, S. Gong and Y. Raja, "Modelling Facial Color and Identity with Gaussian Mixtures", Patt. Recog, vol. 31(12), 1998, pp. 1883-1892.
[14] M. Turk and A. Pentland, "Eigenfaces for Recognition", Journal of Cognitive Neuroscience, vol. 3(1), 1991, pp. 71-86.
[15] T. McInery and D. Terzopoulos, "Deformable Models In Medical Image Analysis: A Survey", Medical Image Analysis, vol. 1, 1996, pp. 91-108.
[16] W.N. Martin and J.K. Aggarwal, "Dynamic Scene Analysis: A Survey", Computer Vision, Graphics and Image Process, vol. 7, 1978, pp. 356- 374.
[17] J. K. Aggarwal and N. Nandhakumar, "On The Computation Of Motion From Sequences Of Images", Proc. IEEE, Vol. 76, 1988, pp. 917-935.