Personal identification using finger knuckle orientation features

Abstract

A novel approach for personal identification using finger images which exploits the orientation features from the random knuckle lines using finite Radon transform is proposed. The feasibility of this approach is rigorously evaluated on a publically available finger knuckle database from 158 subjects and achieves highly promising results.