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Weightless neural nets for face recognition: a comparison

Lauria, S. and Mitchell, R. J. (1998) Weightless neural nets for face recognition: a comparison. In: Neural networks for signal processing VIII. Proceedings of the 1998 IEEE signal processing society workshop. IEEE, pp. 539-546. ISBN 078035060X

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To link to this item DOI: 10.1109/NNSP.1998.710685

Abstract/Summary

This paper considers the application of weightless neural networks (WNNs) to the problem of face recognition and compares the results with those provided using a more complicated multiple neural network approach. WNNs have significant advantages over the more common forms of neural networks, in particular in term of speed of operation and learning. A major difficulty when applying neural networks to face recognition problems is the high degree of variability in expression, pose and facial details: the generalisation properties of a WNN can be crucial. In the light of this problem a software simulator of a WNN has been built and the results of some initial tests are presented and compared with other techniques

Item Type:Book or Report Section
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:18866
Uncontrolled Keywords:access control, expression variability, face recognition, generalisation, image matching, learning algorithm, weightless neural networks
Publisher:IEEE

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