K.L. Shunmuganathan  , V. Vasudevan  , 
    Multi-Agent Based Facial Recognition System Using RETSINA,
    Asian Journal of Information Technology,
    Volume 5,Issue 11,
    2006,
    Pages 1177-1179,
    ISSN 1682-3915,
    ajit.2006.1177.1179,
    (https://makhillpublications.co/view-article.php?doi=ajit.2006.1177.1179)
    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.
    Keywords: Multi-agents;agent communication language;RETSINA;biometrics;principal component analysis;eigenvectors;feature extraction;covariance matrix