Recognition of palmprint fusion level by using discrete wavelet transform

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. Such systems are expected to be more reliable due to the presence of multiple independent pieces of evidence. In this paper, we present a multibiometric recognition system using two types of biometrics Iris and Palm print. The fusion is applied at the matching-score level. The experimental results showed that the designed system achieves an excellent recognition rate.