Abstract: In practical applications,it is inevitable that some captured iris images are out-of-focus or motion blurred．Blurred iris images without clear iris texture details will lead to high false reject rate of iris recognition．In this paper,a novel image deblurring method was proposed to automatically enhance iris image quality．The proposed method makes full use of the distinct property of iris images,and applies a novel coarse-to-fine framework．Point spread function (PSF) is firstly initialized based on parametric model,and then it turns to be modeled on pixel-level for refinement．In optimizations,non-local regularization is applied due to the emphasis on texture patterns,and only the reliable regions are detected to guide the image restoration．Experimental results on various iris image databases illustrate that the proposed method is both effective and efficient,and outperforms state-of-the-art image deblurring methods in the improvement of iris recognition accuracy．

Key words: Iris recognition,Image deblurring,Sparse coding,Reliable region detection