Abstract
Numerous methods could deal well with frontal view face recognition if there were sufficient number of representative training samples. Nevertheless, few of them work well when only single training sample per person is available. In this paper, a face recognition method using artificial immune networks based on Principal Component Analysis (PCA) is proposed to solve the one training sample problem. The performance of the present method was evaluated employing the ORL face database. The results show that this method gains higher recognition rate in contrast with most of the developed methods.
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