TY  - JOUR
T1  - Multi-Agent Based Facial Recognition System Using RETSINA
AU - , K.L. Shunmuganathan AU - , V. Vasudevan 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 11
SP  - 1177
EP  - 1179
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.1177.1179
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.1177.1179
KW  - Multi-agents
KW  -agent communication language
KW  -RETSINA
KW  -biometrics
KW  -principal component analysis
KW  -eigenvectors
KW  -feature extraction
KW  -covariance matrix
AB  - 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.
ER  -