In this paper we have presented a fusion of three face recognizers, LFA, LBA and KDDA, -which combines the three Confidence Measure Factors (CMFs) using a RBF neural netwrok. This strategy is used to increase the accuracy of the face recognition system. The recognizer is tested on AT&amp;T-ORL, AR and IITK Face database and the results are found to be more than 95%. © 2004 IEEE.

Mayank Vatsa

Department of Computer Science & Engineering

IIT Jodhpur

Richa Singh

P. Gupta

&ldquo;IIT Jodhpur is committed to impart quality education to facilitate the creation of qualified, competent and responsible human resources to meet the emerging technological challenges of the world. It is working towards creating an equitable learning platform that is positive, accessible and effective in the face of the modern societal and scientific advancements.

Flexibility in curriculum, in all its academic programs, encompassing elements of teaching, research, creativity, innovation and entrepreneurship is the most unique feature of IIT Jodhpur. The Department of Science and Technology (DST), under the National Mission on Cyber Physical Systems, has identified IIT Jodhpur as a Technology &amp; Innovation Hub in the area of Augmented Reality and Virtual Reality. The institute has also been nominated as the coordinator for the Jodhpur City and Knowledge Cluster by the Office of Principal Scientific Adviser, Government of India.

The sprawling 852-acre IIT Jodhpur campus is a majestic tribute to the deep-rooted diverse cultural heritage of the region. The campus is an architectural masterpiece, which is slated to become an international exemplar of sustainability with net-zero energy, and advanced water and waste management strategies.&rdquo;

Journal	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN	1062922X