Multimodal biometric personal identification and verification

Abstract

Security systems using one identification tool are not ideal. Multisystem security, which using two or more types of security levels like for example using identification password and card, can increase the security of a system, however it is not an ideal security system. Password maybe hacked or forgotten, and Identification card is something we have and could be stolen. This chapter proposes a cascaded multimodal biometric system using fingerprint and iris recognition based on minutiae extraction for fingerprint identification and encoding the log-Gabor filtering for iris recognition. The experiments compare FAR, FRR, and accuracy evaluation metrics for a unimodal biometric system based on either fingerprint or iris and the cascaded multimodal biometric system that sequentially utilizes the fingerprint and iris traits. The proposed system has FAR = 0, FRR = 0.057, and accuracy 99.86%. The results show the superior performance of the proposed multimodal system compared to the unimodal system.