[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