Face recognition using neural networks and pattern averaging

Authors:
Adnan Khashman
Affiliations:
Department of Electrical & Electronic Engineering, Near East University, Lefkosa, North Cyprus, Turkey
Venue:
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Year:
2006

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Abstract

The human ability to recognize objects has not so far been matched by intelligent machines. This is more evident when it comes to recognizing faces, where a quick human “glance” is sufficient to recognize a “familiar” face. Face recognition has recently attracted more research aimed at developing reliable recognition by machines. Current face recognition methods rely on detecting certain features within a face and using these features for face recognition. This paper introduces a novel approach to face recognition by simulating our ability to recognize “familiar” faces after a quick “glance” using pattern averaging and neural networks. A real-life application will be presented throughout recognizing the faces of 30 persons. Time costs and the neural network parameters will be described, in addition to future work aimed at further improving the developed system.