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Image restoration of skin scattering and optical blurring for finger vein recognition
Authors:Eui Chul LeeKang Ryoung Park
Institution:a Division of Fusion and Convergence of Mathematical Sciences, National Institute for Mathematical Sciences, 463-1, Jeonmin-Dong, KT Daeduk Research Center, Yuseong-gu, Daejeon 305-390, Republic of Korea
b Division of Electronics and Electrical Engineering, Dongguk University, 26, Pil-dong 3-ga, Jung-gu, Seoul 100-715, Republic of Korea
Abstract:Finger vein recognition has been adopted due to its high recognition rate and the invisibility of vein in visible light. However, because a finger vein pattern is not distinctive due to light scattering in the skin layer, the localization of a finger vein pattern region using an image processing algorithm is a difficult procedure. Also, optical blurring increases these difficulties. We propose a new finger vein image restoration method to deal with skin scattering and optical blurring. Our research is novel in three ways compared to previous studies. Firstly, the amount of optical blurring of a finger vein image is measured based on the average gradient of the orthogonal profile of a finger edge. Secondly, the accurate point spread function (PSF) of optical blurring is adaptively determined based on the orthogonal profile of a finger edge. Thirdly, using a constrained least square (CLS) filter and optimized parameters in terms of the lowest error of finger vein recognition, the restoration of a skin scattered and optically blurred finger vein pattern was performed. Experimental results show that the equal error rate (EER) of finger vein recognition with restoration was reduced by as much as 3.14% (5.05-1.91%) compared to the EER without restoration.
Keywords:Biometrics  Image restoration  Skin scattering  Optical blurring  Finger vein recognition
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