Long Distance Iris Recognition

In this paper we introduce an algorithm to analyze the human iris, long-range iris recognition software has been developed to be more user-friendliness and create an economic way to the identification. Our algorithm centralized on pupil detection, and by using estimated ranges we omit the other regions to create more efficient search space. The final decision on iris region detection provides by Hough Transform. We use the Gaussian method to create a refined mask which has an important rule of the matching process. To extract efficient features of iris regions and matching we used SIFT algorithm, Results on CASIAV4-at Distance shows % 93 as verification Rate.