Published Paper Details:

Biometric is the science and machinery of measuring and analyzing biological data of human carcass. It extracts a feature set from the acquired data, and comparing with template set in the database. In this paper we have introduced a new concept for face & fingerprint recognition by means of K-Nearest Neighbor algorithm and feed forward back propagation method by using their approach it improves the accuracy gives better performance and more reliable in terms of security and integrity of the biometric data. This approach is developed by coming ridge based & Eigen face approach. The main of their research work is to reduce the false accept rate (FAR), false reject rate (FRR) and false enroll rate (FER). After executing their loom we have compared the result of unimodal biometric system & multimodal biometric system. From the effect we observed that unimodal system has many disadvantages in terms performance and accuracy. Whereas multimodal biometric system performs for better them unimodal biometric system.