Multimodal Biometric Recognition Using Iris and Face Features

Multimodal biometrics has recently gained interest over single biometric modalities. This stems from the fact that this technique offers improvements in recognition and more security. In ongoing research programme, we propose a new feature extraction for system based on face iris recognition. The of facial features is performed using Discrete Wavelet Transform combined with Singular Value Decomposition. Merging relevant characteristics two modalities used to create pattern each individual dataset. evaluation process datasets (i.e., Faces94 Faces dataset IIT Delhi Iris dataset). experimental results carried out programme showed robustness proposed technique.