Multimodal Biometrics Based System for Efficient Human Recognition

In this paper, the authors propose the multimodal biometrics system for identity verification using four traits i.e., face, fingerprint, iris and signature. The proposed system is designed for applications where the training database contains a face, iris, two fingerprint images and/or one or two signature image(s) for each individual. The final decision is made by fusion at \"Matching score level architecture\" in which feature vectors are created independently for query images and are then compared to the enrollment templates which are stored during database preparation for each biometric trait.

Provided by: The World Topic: Security Date Added: Nov 2013 Format: PDF

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