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A Study on the Restoration of a Low-Resoltuion Iris Image into a High-Resolution One Based on Multiple Multi-Layered Perceptrons  

Shin, Kwang-Yong (동국대학교 전자전기공학부)
Kang, Byung-Jun (한국전자통신연구원 휴먼인식기술연구팀)
Park, Kang-Ryoung (동국대학교 전자전기공학부)
Shin, Jae-Ho (동국대학교 전자전기공학부)
Publication Information
Journal of Korea Multimedia Society / v.13, no.3, 2010 , pp. 438-456 More about this Journal
Abstract
Iris recognition uses a unique iris pattern of user to identify person. In order to enhance the performance of iris recognition, it is reported that the diameter of iris region should be greater than 200 pixels in the captured iris image. So, the previous iris system used zoom lens camera, which can increase the size and cost of system. To overcome these problems, we propose a new method of enhancing the accuracy of iris recognition on low-resolution iris images which are captured without a zoom lens. This research is novel in the following two ways compared to previous works. First, this research is the first one to analyze the performance degradation of iris recognition according to the decrease of the image resolution by excluding other factors such as image blurring and the occlusion of eyelid and eyelash. Second, in order to restore a high-resolution iris image from single low-resolution one, we propose a new method based on multiple multi-layered perceptrons (MLPs) which are trained according to the edge direction of iris patterns. From that, the accuracy of iris recognition with the restored images was much enhanced. Experimental results showed that when the iris images down-sampled by 6% compared to the original image were restored into the high resolution ones by using the proposed method, the EER of iris recognition was reduced as much as 0.133% (1.485% - 1.352%) in comparison with that by using bi-linear interpolation
Keywords
iris recognition; interpolation method; low-resolution iris image; multiple multi-layered perceptrons;
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