Abstract

The hand shape authentication has been widely used on the biometrics field with an extensive range of potential applications since it is the well-suited with respect to securityfacility. The aim of this paper is to improve the accuracy and robustness of the hand basedauthentication system. In this paper, a hand shape authentication with a fixed angle radon transformation and a centroid scheme is proposed to achieve high accuracy and robustness with translation and rotation invariancy. Furthermore, the hand shape feature vector is developed using the radon transform with centroid to represent hand geometry, avoiding the more complicated and liable to errors of hand landmark extraction. This scheme can handle variability of hand's position, translation and rotation, especially in a peg free system with the help of centroid and radon transformation. The experimental results are promising and confirm the usefulness of the proposed approach for personal authentication by implementing the real hand geometry verification/identification system and it has proven to work effectively and competitively with low false acceptance and false rejection rates.

Key words: Hand shape authentication, radon transform, centroid, feature vector and biometric.