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.. vim: set fileencoding=utf-8 :
.. date: Thu Jan 15 15:58:57 CEST 2015

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References
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.. [KUU02]_ M. Kono, H. Ueki and S. Umemura. Near-infrared finger vein patterns for personal identification, Applied Optics, Vol. 41, Issue 35, pp. 7429-7436 (2002).
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.. [MNM04]_ N. Miura, A. Nagasaka, and T. Miyatake. Feature extraction of finger vein patterns based on repeated line tracking and its application to personal identification. Machine Vision and Applications, Vol. 15, Num. 4, pp. 194--203, 2004.
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.. [MNM05]_ N. Miura, A. Nagasaka, and T. Miyatake, Extraction of Finger-Vein Pattern Using Maximum Curvature Points in Image Profiles. Proceedings on IAPR conference on machine vision applications, Vol. 9 , pp. 347--350, 2005.
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.. [LLP09]_ E.C. Lee, H.C. Lee and K.R. Park. Finger vein recognition using minutia-based alignment and local binary pattern-based feature extraction. International Journal of Imaging Systems and Technology. Vol. 19, No. 3, pp. 175-178, September 2009.
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.. [ZY09]_ J. Zhang and J. Yang. Finger-vein image enhancement based on combination of gray-level grouping and circular gabor filter. In International Conference on Information Engineering and Computer Science (ICIECS), pp. 1-4, Dec 2009.
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.. [ZTXL09]_ Jianjun Zhao, Hogliang Tian, Weixing Xu, and Xin Li. A New Approach to Hand Vein Image Enhancement. In IEEE Second International Conference on Intelligent Computation Technology and Automation, ICICTA. Vol. 1, pp. 499-501. 2009.
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.. [HDLTL10]_ B. Huang, Y. Dai, R. Li, D. Tang and W. Li. Finger-vein authentication based on wide line detector and pattern normalization, Proceedings on 20th International Conference on Pattern Recognition (ICPR), 2010.
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.. [MD13]_ L. Mirmohamadsadeghi and A. Drygajlo. Palm vein recognition using local texture patterns, IET Biometrics, pp. 1-9, 2013.