Fusion of Fingerprint, Iris and Face Biometrics at Decision Level
Multi-modal biometric systems can effectively solve limitations and challenges in single biometric such as noisy data, non-universality and spoof attacks. In this paper, fusion of fingerprint, iris and face traits are used at decision level in order to improve the accuracy of the system. Each subsystem gives its individual binary decision (either low or high) and then these decisions are fused using fuzzy and weighted logic. Experimental results show that weighted fuzzy logic gives excellent accuracy equal to 99.99%.