Special Issue Article Open Access

Secure Crypto Multimodal Biometric System for the Privacy Protection of User Identification

Abstract

Single biometric systems have a range of issues like noisy information, non-universality, spoof attacks and unacceptable error rate. These limitations will besolved by deploying multimodal biometric systems. Multimodal biometric systems utilize two or additional individual modalities, like face, iris, retina and fingerprint. Multimodal biometric systems increase the recognition accuracy quite uni-modal ways. In this paper, twobiometrics, iris and fingerprint are used as multi-biometrics and show using this biometrics has sensible result with high accuracy. For fusion, decision level is employedand every biometric results weighted for participate in final decision. Fuzzy logicis employed for the resultof every biometric result combination.

M. Devi

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