Face Recognition Using Principal Component Analysis Method
Keywords:
Recognition, PCA, Euclidian distance, Eigen Values, Eigen VectorsAbstract
In this paper the method of Face Recognition is presented. Now a day the need of security is increasing. Many methods are using for maintaining the security like as credit cards, pin numbers, smart cards etc. But some times it fails. This paper presents a Face Recognition method using Principal Component Analysis. This method applies on both data base image and input image. By the use of PCA the system finds the Eigen values, Eigen vector and Euclidian distance. After comparing from database it declares the matches.
References
I. Sajid, M. M. Ahmed, Kresimir Delac, Mislav Grgic, Sonja Grgic,” Independent Comparative Study of PCA, ICA, and LDAon the I. Taj, M. Humayun, and F.Hameed,“Design of high performance fpga based face recognition system,” in PIERS Proceedings, Cambridge, USA, July 2-6, 2008, pp.504-510
H. T. Ngo, R. Gottumukkal, and V. K. Asari, “A flexible and efficient hardware architecture for real-time face recognition based on eigenface,” in IEEE Computer Society Annual Symposium on VLSI, 2005.
Sathaporn Visakhasart, Orachat Chitsobhuk, “Multi-Pipeline architecture for face recognition on FPGA,”International Conference on digital Image Processing,2009, pp.152-156
Janarbek Matai, Ali Irturk and Ryan Kastner,” Design and Implementation of an FPGA-based Real-Time Face Recognition System”, in IEEE International Symposium on Field-Programmable Custom Computing Machines, 2011, pp 97-100.
Qiu Chen, Koji Kotani, Feifei Lee and Tadahiro Ohmi,” Face Recognition Using Self-Organizing Maps” www.intechopen.com.
Rala M. Ebied,” Feature Extraction using PCA and Kernel-PCA for Face Recognition”, in The 8th International Conference on INFOrmatics and Systems Computational Intelligence and Multimedia Computing Track , 2012 ,pp mm72-mm77
Mohammed Alwakeel , Zyad Shaaban ,”Face Recognition Based on Haar Wavelet Transform and Principal Component Analysis via Levenberg-Marquardt Backpropagation Neural Network” in European Journal of Scientific Research,2010 pp. 25-31
Kyungnam Kim, “Face Recognition using Principal Component Analysis”, www.google.com
Lindsay I Smith, “A tutorial on Principal Components Analysis” February 26, 2002
Abhishek Bansal, Kapil Mehta, Sahil Arora, “FACE RECOGNITION USING PCA & LDA ALGORITHMS”,in Second International Conference on Advanced Computing & Communication Technologies, 2012,pp.251-256
FERET Data Set” in Wiley Periodicals, 2006.
Neelam Mahale, Dr. M. S. Nagmode,”Improve ATM Security by Face Recognition” in Technovision-14, Ist International Conference on E&TC, Electrical and Computer Engineering in Sinhgad Institute of Technology & Science SITS, 5-6 April, 2014
Janarbek Matai, Ali Irturk and Ryan Kastner,” Design and Implementation of an FPGA-based Real-Time Face Recognition System”, in IEEE International Symposium on Field-Programmable Custom Computing Machines, pp. 97-100, 2011.
Smt.M.P.Satone, Dr. G.K.Kharate,”Face Recognition Based on PCA on Wavelet Subband”,in IEEE Students' Conference on Electrical, Electronics and Computer Science, 2012
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