Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
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.
How to cite this article:
K.L. Shunmuganathan and V. Vasudevan . Multi-Agent Based Facial Recognition System Using RETSINA.
DOI: https://doi.org/10.36478/ajit.2006.1177.1179
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2006.1177.1179