Effect of controlled image acquisition on fingerprint matching

Abstract

In an automatic fingerprint identification or authentication system, the matcher subsystem handles the most complex task of compensating for scaling, translation, rotation and structural distortions of the fingerprint minutiae features due to skin elasticity. We analyze the effect of controlled image acquisition on matcher performance. We show that simple steps in image acquisition can enhance the system performance vastly.