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A Parallel Framework For Multilayer Perceptron For Human Face Recognition
Mrinal Kanti Bhowmik, Debotosh Bhattacharjee , Mita Nasipuri, Dipak Kumar Basu, Mahantapas Kundu
Pages - 491 - 507     |    Revised - 30-12-2009     |    Published - 31-01-2010
Volume - 3   Issue - 6    |    Publication Date - January 2010  Table of Contents
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KEYWORDS
Artificial Neural Network, Network architecture, All-Class-in-One-Network (ACON), One-Class-in-One-Network (OCON), PCA, Multilayer Perceptron and Face recognition
ABSTRACT
Artificial neural networks have already shown their success in face recognition and similar complex pattern recognition tasks. However, a major disadvantage of the technique is that it is extremely slow during training for larger classes and hence not suitable for real-time complex problems such as pattern recognition. This is an attempt to develop a parallel framework for the training algorithm of a perceptron. In this paper, two general architectures for a Multilayer Perceptron (MLP) have been demonstrated. The first architecture is All-Class-in-One-Network (ACON) where all the classes are placed in a single network and the second one is One-Class-in-One-Network (OCON) where an individual single network is responsible for each and every class. Capabilities of these two architectures were compared and verified in solving human face recognition, which is a complex pattern recognition task where several factors affect the recognition performance like pose variations, facial expression changes, occlusions, and most importantly illumination changes. Experimental results show that the proposed OCON structure performs better than the conventional ACON in terms of network training convergence speed and which can be easily exercised in a parallel environment.
CITED BY (5)  
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3 N. Belghini, A. Zarghili, J. Kharroubi and A. Majda, , “A Color Facial Authentification System Based On Semi Supervised Backporpagation Neural Network”, in Proceedings, Multimedia Computing and Systems (ICMCS), 2011 International Conference , Ouarzazate, 7-9 April 2011, pp. 1-4.
4 M. K. Bhowmik , D. Bhattacharjee , M. Nasipuri , D. K. Basu and M. Kundu, “Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition – A Comparative Study”, International Journal of Image Processing (IJIP), 4(1), pp. 12 – 23, 2010.
5 Abbas, A. I. (2010). Face identification using multiwavelet-based neural network (Doctoral dissertation, University of Baghdad).
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Mr. Mrinal Kanti Bhowmik
Tripura University(A Central University) - India
mkb_cse@yahoo.co.in
Dr. Debotosh Bhattacharjee
Jadavpur University - India
Professor Mita Nasipuri
Jadavpur University - India
Professor Dipak Kumar Basu
Jadavpur University - India
Professor Mahantapas Kundu
Jadavpur University - India