Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint and Face Recognition using DWT Technique

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[1] and spoof attacks. Multi-biometrics overcomes these problems. Multi-biometric systems represent the fusion of two or more unimodal biometric systems. Such systems are expected to be more reliable due to the presence of multiple independent pieces of evidence. In this paper, we present[2][5] a multi-biometric recognition system using three types of biometrics Face ,Iris and Fingerprint. The fusion is applied at the matching-score level. The experimental results showed that the designed system achieves an excellent recognition rate.