Face recognition using multiple recognizers

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 network. This strategy is used to increase the accuracy of the face recognition system. The recognizer is tested on AT&T-ORL, AR and IITK face database and the results are found to be more than 95%.

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