Multimodal Biometric System Using Gabor Filter
Now-a-days, the biometric authentication system is more popular and necessary system for human identification for giving secure access to different systems. In this paper, the authors propose the multimodal biometric system using two traits i.e. face and fingerprint. The final decision is made by feature level fusion. Feature extraction is based on Gabor filter for fingerprint as well face. In the proposed system the stored feature dataset is updated every time hence the proposed system is more reliable than the others.