FUSION OF IRIS AND FINGERPRINT BIOMETRIC FOR RECOGNITION

This paper represents studies on fusion strategies for personal identification using fingerprints and iris biometrics. The purpose of our paper is to investigate whether the integration of fingerprint and iris biometrics can achieve performance that may not be possible using a single biometric technology. Biometrics comprises methods for uniquely recognizing humans based upon one or more intrinsic physical or behavioral. Multimodal biometric identification is based on iris and fingerprint biometrics, both performs better as compared to other available traits due to their accuracy, reliability and simplicity. The fusion of multiple biometrics helps to minimize the system error rates. Fusion methods include processing biometric modalities sequentially until an acceptable match is obtained. The results of this paper confirm that a multimodal biometric can overcome some of the limitations of a single biometric resulting in a substantial performance improvement.