Multimodal Biometric System using Iris and Fingerprint

Abstract

Most real-life biometric systems are still unimodal. Unimodal biometric systems perform person recognition based on a single source of biometric information. Such systems are often affected by some problems such as noisy sensor data, non-universality and spoof attacks. Multibiometrics overcomes these problems. Multibiometric systems represent the fusion of two or more unimodal biometric systems. Recently, multi-modal biometric fusion techniques have attracted increasing attention and interest among researchers, in the hope that the supplementary information between different biometrics might improve the recognition performance in some difficult biometric problems. The small sample biometric recognition problem is such a research difficulty in real-world applications. In this paper, we present a multibiometric recognition system using two types of biometrics Iris, and Finger Print. The fusion is applied at the matching-score level. The experimental results showed that the designed system achieves an excellent recognition rate.