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Asian Journal of Information Technology
Year: 2006  |  Volume: 5  |  Issue: 11  |  Page No.: 1177 - 1179

Multi-Agent Based Facial Recognition System Using RETSINA

K.L. Shunmuganathan and V. Vasudevan    

Abstract: We propose an appearance-based facial recognition system based on multi-agents. By this method a person can be identified and verified using his face. Each RETSINA agent performs the facial recognition with its own small training sets and its stops other agents when it finds a match by communicating through ACL. Experimental results suggest that the proposed multi-agent based Facial recognition method provides a better recognition rate and achieves less time complexity. The worst case analysis shows proposed multi-agent based facial recognition is 80% better than ordinary facial recognition.

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