Security and authentication of a person is a crucial part of any industry. There are many techniques used for this purpose. One of them is face and iris recognition. Face and iris recognition is an effective means of authenticating a person. The advantage of this approach is that, it enables us to detect changes in the face and iris image pattern of an individual to an appreciable extent. The recognition system can tolerate local variations in the face or iris image of an individual. Here the performance of both the recognition system is evaluated by comparing its recognition rate and accuracy. Hence face and iris recognition can be used as a key factor in crime detection mainly to identify criminals. There are several approaches to face and iris recognition of which Principal Component Analysis (PCA) and Neural Networks have been incorporated in this paper.

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Principal Component Analysis (PCA) Neural Networks