Palmprint Verification using SIFT features

Abstract

This paper describes the design and development of a prototype of robust biometric system for personnel verification. The system uses features extracted using scale invariant feature transform (SIFT) operator of human hand. The hand image for features is acquired using a low cost scanner. The palmprint region extracted is robust to hand translation and rotation on the scanner. The use of SIFT operator for feature extractions makes the system robust to scale or spatial resolution of the hand images acquired. The system is tested on IITK database of 200 images and PolyU database of 7751 images. The design of the system with low cost scanner as input device, robustness to translation, rotation and spatial resolution, and testing performance, FAR 0.02%, FRR 0.62%, and accuracy 99.67% suggests that the system can be used for civilian applications and high-security environments.