The week's pick
Reseach Article
Research and Applications of Optimal Face Recognition System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 44 - Number 3 |
| Year of Publication: 2012 |
| Authors: Rakesh Kumar Yadav, A. K. Sachan, D. Rai |
10.5120/6240-7885
|
Rakesh Kumar Yadav, A. K. Sachan, D. Rai . Research and Applications of Optimal Face Recognition System. International Journal of Computer Applications. 44, 3 ( April 2012), 1-5. DOI=10.5120/6240-7885
Abstract
Face recognition is one of the most significant achievements in human vision. It has emerged that eigenface, neural network, graph matching, hidden markov model, geometrical feature matching ,template matching, 3D morphable model , line edge map (LEM) , support vector machine (SVM) ,multiple classifier systems (MCSs) are fashionable techniques of face recognition. Till date, all existing techniques could not provide satisfactory results. In this view, paper is presented a new system OFRS (Optimal Face Recognition System). This system can be find optimal accuracy of face recognition. The system is based on PCA-SVM (Principle component analysis-Support Vector Machine) combinations. It is used preprocessing, feature extraction, classification, optimization, techniques in the best way. Since, "PCA-SVM combination" suffers from the limitation of scalability. Hence, IPCA (Incremental PCA) is proposed to be used, for the first time with this combination, as feature selection strategy to overcome scalability problem. GA (Genetic Algorithm) is proposed to be used, for the first time, as optimization of SVM kernel for face recognition . At last, paper describes impact of proposed system in academic as well as industry.
References
- Anil K. Jain, Sarat C. Dass and Karthik Nandakumar, "Can soft biometric traits assist user recognition? " , Proceedings of SPIE, 2004, Volume 5404, pp: 561-572
- W. Zhao Sarnoff Corporation, Princeton, NJ R. Chellappa, " Face recognition: A literature survey", ACM computing surveys (CSUR) , 2003,Volume 35 , pp: 399-458
- Elham Bagherian, Rahmita Wirza O. K. Rahmit," Facial feature extraction for face recognition: a review ", IEEE, 2008, pp: 1-9
- Surya Prakash, Devdatt and Phalguni Gupta U. Jayaraman, "An Indexing Technique for Biometric Database," IEEE, 2008, pp: 758-761
- A. S. Tolba, A. H. El-Baz, and A. A. El- Harby,"Face Recognition: A Literature Review" International Journal of Information and Communication Engineering, 2006, Volume 2, pp: 88-103
- Rakesh Kumar Yadav, A. K Sachan, D. Rai,"Sate of art in kernel classifier SVM with PCA for face recognition", Journal of computer Egineering ", 2012, Volume 3, Isuue1, pp: 6-16
- M. Turk, and A. Pentland, "Ejgenfaces for Recognition," Journal of Cognitive Neuroscience, 1991, Volume. 3, Number 1, 1991, pp: 71-86,
- Rakesh Kumar Yadav,Abhishek k Mishra,Naveen Prakash, Himnashu Sharma,"Princilple component analysis from multiple data representation", International journal of computer and network security, 2010, Volume 2, Number 5, pp: 8-10
- N. Gistiane and J Taylar, "An introduction to support Vector machine and other Kernel based Learning Methods", Cambridge university, Press, 2000
- C. Cortes and V. Vapnik. "Support vector networks", Machine Learning, 1995, pp: 273–297
- Kebin Cui; Feng Han; Ping Wang ,"Research on Face Recognition Based on Boolean Kernel SVM ", Fourth International Conference on Natural Computation, IEEE,2008 Volume: 2, pp: 148 - 152
- Jianke Li; Baojun Zhao; Hui Zhang; Jichao Jiao ,"Face Recognition System Using SVM Classifier and Feature Extraction by PCA and LDA Combination", in proceeding of IEEE conferences on International Conference on ,2009 , pp: 1 – 4
- Faruqe, M. O. ; Al Mehedi Hasan, M . ,"Face recognition using PCA and SVM "in proceeding of IEEE conferences on 3rd International Conference on Anti-counterfeiting, Security, and Identification in Communication, 2009, pp: 97 - 101
- Zhao Lihong; Song Ying; Zhu Yushi; Zhang Cheng; Zheng Yi,"Face recognition based on multi-class SVM ",in proceeding of IEEE conferences on International Conference on Control and Decision Conference, 2009, pp: 5871 - 5873
- Sani, M. M. ; Ishak, K. A. ; Samad, S. A ,"Evaluation of face recognition system using Support Vector Machine ",IEEE Student Conference on Research and Development (SCOReD), 2009 ,pp: 139 - 141
- Ivanna K. Timotius, Iwan Setyawan, and Andreas A. Febrianto," Face Recognition between Two Person using Kernel Principal Component Analysis and Support Vector Machines",International Journal on Electrical Engineering and Informatics - Volume 2, Number 1, 2010 ,pp: 53-61
- Len Bui; Dat Tran; Xu Huang; Chetty, G ,"Face Gender Recognition Based on 2D Principal Component Analysis and Support Vector Machine", 4th International Conference on Network and System Security (NSS),IEEE, 2010, pp:579 - 582
- Chengliang Wang; Libin Lan; Yuwei Zhang; Minjie Gu; "Face Recognition Based on Principle Component Analysis and Support Vector Machine", 3rd International Workshop on Intelligent Systems and Applications (ISA), IEEE, 2011, pp:1-4
- Hatim A. Aboalsamh,Hassan I. Mathkour,Ghazy M. . R. Assassa and Mona,M. Mursi, "Face recognition using Incremental Principle Components Analysis", 2009, IEEE, pp:39-43
- HaitaoZhao,Pong Chi Yuen,James T Kwork and Jingyu Yang , "incremental PCA Based Face recognition", IEEE ,2004, Volume 1, pp: 687- 691.
- Meijuan Gao, Jingwen Tian, Shiru Zhou;, "Research of web Classification Mining Based on Classify Support vector Machine", CCCCM 2009,IEEE, pp: 21-24
- Cheng-leing huang, Chieh-jen wang, "A GA based feature selection and parameters optimization for support vector machine", Expert system and applications, Elsevier, 2006, pp: 231-240
- Goldberg, David E. (1989)," Genetic Algorithms in Search Optimization and Machine Learning", Addison Wesley, Pp 41, ISBN 0201157675
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