Framework on Enhancing Biometric Template Protection Transformation Scheme Using Residue Number System

Abstract

Biometric technology was introduced into our applications and smart devices to provide a dependable approach to the problem of user authentication. However, study has proven that there are susceptible points in typical biometric systems which are prone to manipulation by hackers. The most concerned is biometric template attacks, reason for various biometric template techniques proposed by researchers in the literature to secure biometric raw template. The main challenge of most biometric template protection techniques is decrease in recognition performance when compare to unprotected system. Also, most of them required Auxiliary Data (AD) for verification. This study will leverage on features of Residue Number System (RNS) by integrating it with Biometric Template Protection (BTP) Transformation technique. The Model simulation was carried-out, the result generated shows that there was no reduction in recognition performance as compare to unprotected biometric system. Since RNS is a carry-free arithmetic and parallel operations, the overall computational time is less when compared to unprotected biometric system.