Iris image quality evaluation method research based on gradation features

Abstract

Iris image quality is an important factor in an automatic iris recognition system, the recognition effectiveness would be influenced. A method of iris image quality evaluation is proposed based on gradation feature in this study, the defocus and motion blur are improved in the process of acquiring iris images. Iris location detection, iris visibility and iris definition are introduced in the research, and a real-time evaluation can be realized to the acquired images. This method is compared with the existing methods, and the experimental results indicate that our method obtains better performance, the iris images with high quality can be picked out quickly and effectively.