Dynamic Range Extend on Finger Vein Image Based on Infrared Multi-Light-Intensity Vascular Imaging

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This paper proposes an extending dynamic range method for infrared finger vein image acquisition by multi-light-intensity imaging. The captured images contain high dynamic range by different light intensity irradiating. The fast switch of light-intensity is synchronous with the camera imaging and the current image illumination analysis, these ensure the light intensity is automatic regulated and the captured images are in pixel-level registration. The experiment shows the proposed acquisition method is effective and the captured multi-light-intensity finger vein images are convenient for image fusion and subsequent processing.

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1832-1835

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Young Ho Park, Kang Ryoung Park, Image Quality Enhancement Using the Direction and Thickness of Vein Lines for Finger-Vein Recognition, International Journal of Advanced Robotic Systems, 2012, vol. 9, pp: 145−154.

DOI: 10.5772/53474

Google Scholar

[2] Nguyen D T, Park Y H, Lee H C, Shin K Y, Kang B J, Park K R Combining Touched Fingerprint and Finger-vein of a Finger, and its Usability Evaluation, Advanced Science Letters, 2012, vol 5, pp: 85−95.

DOI: 10.1166/asl.2012.2177

Google Scholar

[3] Cho S R, Park Y H, Nam G P, Shin K Y, Lee H C, Park, K R, Kim S M, Kim H C Enhancement of Finger−vein Image by Vein Line Tracking and Adaptive Gabor Filtering for Finger‐vein Recognition, Applied Mechanics and Materials, 2012, 145, pp: 219−223.

DOI: 10.4028/www.scientific.net/amm.145.219

Google Scholar

[4] Jacobs K, Loscos C, Ward G. Automatic high-dynamic range image generation for dynamic scenes. IEEE Computer Graphics and Applications, 2008, 28 (2), pp: 84−93.

DOI: 10.1109/mcg.2008.23

Google Scholar

[5] Zhang J, Dai X, Sun DQ, Wang BP. Directly fusion method for combining variable exposure value images(in Chinese). Journal of Software, 2011, 22(4), pp: 813‐825.

DOI: 10.3724/sp.j.1001.2011.03795

Google Scholar

[6] Debevec PE, Malik J. Recovering high dynamic range radiance maps from photographs. In: Owen SG, Whitted T, Mones-Hattal B, eds. Proc. of the ACM SIGGRAPH. New York: ACM Press, 1997, pp: 369−378.

DOI: 10.1145/1401132.1401174

Google Scholar

[7] Rovid A, Hashimoto T, Varlaki P. Improved high dynamic range image reproduction method. In: Fodor J, Prostean O, eds. Proc. Of the 4th Int'l Symp. on Applied Computational Intelligence and Informatics. Washington: IEEE Computer Society, 2007, pp: 203−207.

DOI: 10.1109/saci.2007.375511

Google Scholar

[8] Liukui Chen, Hong Zheng, Finger Vein Image Recognition Based on Tri-value Template Fuzzy Matching. (in Chinese), Wuhan University Journal(Geomatics and Information Science), Feb 2011, Vol. 36 No. 2, pp: 157−162.

Google Scholar