Multimodal Biometric System Fusion Using Fingerprint and Face with Fuzzy Logic
نویسنده
چکیده
Biometric systems have a variety of problems such as noisy data, non-universality, spoof attacks and unacceptable error rate. These limitations can be solved by deploying multimodal biometric systems. Multimodal biometric systems utilize two or more individual traits, like face, iris, retina and fingerprint. Multimodal biometric systems improve the recognition accuracy more than uni-modal methods. In this paper, two uni-modal biometrics, fingerprint and face are used as multi-biometrics and show using this biometrics has good result with high accuracy. This paper multimodal biometric systems using fuzzy fusion of fingerprint and face recognition gives high accuracy as compare other fusion method. Different Fusion level techniques are mentioned. Keywords— Fuzzy Fusion, Fingerprint, Face False Acceptance Rate, False Rejection Rate, Genuine Accept Rate
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