A Literature Survey on Face Recognition Techniques

International Journal of Computer Trends and Technology (IJCTT)          
© - November Issue 2013 by IJCTT Journal
Volume-5 Issue-4                           
Year of Publication : 2013
Authors :Riddhi Patel , Shruti B. Yagnik


Riddhi Patel , Shruti B. Yagnik"A Literature Survey on Face Recognition Techniques"International Journal of Computer Trends and Technology (IJCTT),V5(4):189-194 November Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract:- With data and information accumulating in abundance, there is a crucial need for high security. Biometrics has now received more attention. Face biometrics, useful for a person’s authentication is a simple and non-intrusive method that recognizes face in complex multidimensional visual model and develops a computational model for it. In this paper first we present an overview of face recognition and discuss the methodology and its functioning. Thereafter we represent the most recent face recognition techniques listing their advantages and disadvantages. Some techniques specified here also improve the efficiency of face recognition under various illumination and expression condition of face images.


[1] Jigar M. Pandya, Devang Rathod, Jigna J. Jadav,” A Survey of Face Recognition approach”, International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 1, January -February 2013, pp.632- 635
[2] Jyoti S. Bedre ,Shubhangi Sapkal, ”Comparative Study of Face Recognition Techniques: A Review”, Emerging Trends in Computer Science and Information Technology – 2012(ETCSIT2012) Proceedings published in International Journal of Computer Applications® (IJCA) 12
[3] A. S. Tolba, A.H. El-Baz, and A.A. El-Harby, ” Face Recognition: A Literature Review”, International Journal of Signal Processing 2:2 2006
[4] Sushma Jaiswal, Dr. (Smt.) Sarita Singh Bhadauria, Dr. Rakesh Singh Jadon,” COMPARISON BETWEEN FACE RECOGNITION ALGORITHM-EIGENFACES, FISHERFACES AND ELASTIC BUNCH GRAPH MATCHING”, Volume 2, No. 7, July 2011 Journal of Global Research in Computer Science
[5] Ming-Hsuan Yang, David J. Kriegman and NarendraAhuja, “Detecting Faces in Images: A Survey,” IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 1, JANUARY 2002
[6] KIRBY, M. AND SIROVICH, L. 1990. “Application of the Karhunen-Loeve procedure for the characterization of human faces”. IEEE Trans. Patt. Anal. Mach. Intell. 12
[7] Li X. and Areibi S.,?”A Hardware/Software codesign approach for Face Recognition”, The 16th,International Conference on Microelectronics, Tunisia,2004
[8] Lin-Lin Huang, Akinobu Shimizu, Yoshihiro Hagihara, Hidefumi Kobatake ,”Face detection from cluttered images using a polynomial neural network”, Elsevier Science 2002
[9] U. KreQel, J. SchRurmann, “Pattern classification techniques based on function approximation, in: H.Bunke, P.S.P. Wang (Eds.), Handbook of Character Recognition and Document Image Analysis”, World Scienti5c, Singapore, 1997, pp. 49–78.
[10] Yue Ming, Qiuqi Ruan, Xiaoli Li, Meiru Mu, ” Efficient Kernel Discriminate Spectral Regression for 3D Face Recognition”, Proceedings Of ICSP 2010
[11] Mohammed Javed, Bhaskar Gupta, ”Performance Comparison of Various Face Detection Techniques” ,International Journal of Scientific Research Engineering & Technology (IJSRET) Volume 2 Issue1 pp 019-0027 April 2013 www.ijsret.org ISSN 2278 – 0882 IJSRET @ 2013
[12] R. A. Fisher, “The Use of Multiple Measurements in Taxonomic Problems”, 1936.
[13] Belhumeur, V., Hespanda, J., Kiregeman, D., 1997,” Eigenfaces vs. fisherfaces: recognition using class specific linear pojection”, IEEE Trans. on PAMI, V. 19, pp. 711-720
[14] Hong Duan, Ruohe Yan, Kunhui Lin, “Research on Face Recognition Based on PCA”, 978-0-7695-3480-0/08 2008 IEEE.
[15] Laurenz Wiskott, Jean-Marc Fellous, Norbert Krüger, and Christoph von der Malsburg, ?”Face Recognition by Elastic Bunch Graph Matching”, IEEE Transactions on pattern analysis and machine intelligence, Vol. 19, pp. 775-779, No.7 July 1997
[16] K.; Subban, R.; Krishnaveni, K.; Fred, L.; Selvakumar, R.K Nallaperumal, “Human face detection in color images using skin color and template matching models for multimedia on the Web”, Wireless and Optical Communications Networks, 2006 IFIP International Conference on 11-13 April 2006, pp. 5-10
[17] R. Bruneli and T. Poggio, “Face recognition: features versus templates,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, pp. 1042-1052, 1993.
[18] R.J. Baron, “Mechanism of human facial recognition,” Int`l J. Man Machine Studies, vol. 15, pp. 137-178, 1981.
[19] Muhammad Sharif, Research Journal of Applied Sciences, Engineering and Technology 4(23): 4979-4990, 2012,ISSN: 2040- 7467
[20] I.J. Cox, J. Ghosn, and P.N. Yianios, “Feature-Based face recognition using mixture-distance,” Computer Vision and Pattern Recognition,1996
[21] B.S. Manjunath, R. Chellappa, and C. von der Malsburg, “A Feature based approach to face recognition,” Proc. IEEE CS Conf. Computer Vision and Pattern Recognition, pp. 373-378, 1992.

Keywords :— face recognition, Eigen faces, fisher faces, neural network, elastic bunch method, graph matching ,feature matching and template matching.