A Novel Technique to Improve Template Security for Biometric Recognition

This paper presents one of the new fusion methods for multimodal biometric recognition to improve biometric template security. In this methodology, the process involves embedding finger vein into the hand vein image. Here the necessary features are extracted from the preprocessed images and subsequently, we embed the binary finger vein into hand vein by the use of embedded fusion. Finally the matching score is found out with the help of neural network. The proposed technique is tested on the standard data bases of finger vein and hand vein. This method provides lower false acceptance rate and false rejection rate when compared with other techniques, indicating the effectiveness of the proposed system.