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CORR
2010
Springer

A Parallel Framework for Multilayer Perceptron for Human Face Recognition

11 years 1 months ago
A Parallel Framework for Multilayer Perceptron for Human Face Recognition
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-OneNetwork (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 c...
Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita
Added 25 Dec 2010
Updated 25 Dec 2010
Type Journal
Year 2010
Where CORR
Authors Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu, Mahantapas Kundu
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