Finger and Face Recognition Biometric System
For human authentication the biometric systems are widely used to increase the systems security. In this paper, the authors propose the multimodal biometric system using the biometric traits i.e. face and fingerprint. Gabor filter and haar transformation technique is used for extracting the features from fingerprint and face. The final decision is made by feature level fusion. In the proposed system has good accuracy and also the stored dataset is updated. This paper is tested with the standard data sets of fingerprint and face.