Abstract
In this paper, a method for super resolution of unconstrained or long-range captured iris images in discrete cosine transform domain is proposed. This method combines iterated back projection approach with the Papoulis-Gerchberg (PG) method to super resolute the iris images in discrete cosine transform domain. The method is tested on CASIA long-range iris database by comparing and analyzing the structural similarity index matrix, peak signal-to-noise ratio, visual information fidelity in pixel domain, and execution time of bicubic, Demirel, and Nazzal state-of-the-art algorithms. The result analysis shows that the proposed method is well suited for super resolution of unconstrained iris images in transform domain.
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