Multimodal Biometric system using Gabor Filter
Poonam Mote · 2012
Now days the biometric authentication system is more popular and necessary system for human identification for giving secure access to different systems. In this paper we 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. As well as with an accurate authentication system keep the record of login and logout time with total time spend by the user. This system is tested with the standard datasets of face and FVC2004 datasets of fingerprint. The proposed system has lower computational complexity and higher accuracy.