A New Scheme of Iris Image Quality Assessment

Abstract

The quality of iris image is the key point to affect the accuracy of iris recognition system. Selecting good iris images from a sequence frames can efficiently depress the false rejection rate and false acceptance rate of a recognition system. Four main causes from various factor-oriented abnormities often degrade iris image quality: defocus, motion blur, eyelid occlusion, and eyelash occlusion. Considering the texture distribution characteristics on iris images, a novel image quality assessment scheme is proposed corresponding to different situations. The experiment results show that the presented method is efficient and can work in realtime, and the evaluation results are coincident to the judgment of human eyes.