Abstract
This paper investigates a new biometric system based on texture of the hand knuckles. The texture pattern produced by the finger knuckle bending is highly unique and makes the surface a distinctive biometric identifier. Hand geometry features can be acquired from the same image, at the same time and integrated to improve the performance of the system. The finger back surface images from each of the users are used to extract scale, translation and rotational invariant knuckle images. The proposed system, especially on the peg-free and non-contact imaging setup, achieves promising results when tested over a database of 105 users.