Robust Biometric System Using Palmprint for Personal Verification

This paper describes a prototype of robust biometric system for verification. The system uses features extracted using Speeded Up Robust Features (SURF) operator of human hand. The hand image for features is acquired using a low cost scanner. The extracted palmprint region is robust to hand translation and rotation on the scanner. The system is tested on IITK database and PolyU database. It has FAR 0.02%, FRR 0.01% and an accuracy of 99.98% at original size. The system addresses the robustness in the context of scale, rotation and occlusion of palmprint, The system performs at accuracy more than 99% for scale, more than 98% for rotation, and more than 99% for Occlusion. The robustness and accuracy suggest that it can be a suitable system for civilian and high-security environments.