[1] [1] Li W, Yuan W Q. Imaging quality analysis on palm vein under different wavelengths near-IR[J]. Computer Engineering and Applications, 2011, 47(30): 15–18.

[2] [2] Cai C F, Ren J Y. Contrast enhancement of hand vein images based on histogram equalization[J]. Journal of Computer Applications, 2013, 33(4): 1125–1127.

[3] [3] Yang X P, Cai C F, Pan H, et al. Research on Pretreatment Algorithm of Hand Vein Image[J]. China Medical Devices, 2013, 28(10): 20–23.

[4] [4] Wang H B, Tao L. Novel algorithm for enhancement of hand vein images based on adaptive filtering and retinex method [C]//Proceedings of 2012 IEEE International Conference on Information Science and Technology, 2012: 857–860.

[5] [5] Hu X Y. Novel algorithm for hand vein image enhancement and segmentation[J]. Computer Knowledge and Technology, 2014, 10(21): 5080–5082.

[6] [6] Wang Z D, Sun H X, Deng Y D, et al. Image processing algorithm for hand vein recognition[J]. Journal of University of Science and Technology Liaoning, 2010, 33(5): 499–502, 508.

[7] [7] Funt B V, Ciurea F, Mccann J J. Retinex in Matlab[C]//Color and Imaging Conference, 2000(10): 112–121.

[8] [8] Otsu N. A. Threshold Selection Method from Gray-Level Histograms[J]. IEEE Trans. Syst. Man. & Cybern, 2007, 9(1): 62–66.

[9] [9] Han X. Research on algorithm for human dorsal hand vein recognition[D]. Changchun: Jilin University, 2007.

[10] [10] Suresh K, Papendra K, Manoj G, et al. Performance Comparison of Median and Wiener Filter in Image De-noising[J]. International Journal of Computer Applications, 2010, 12(4): 24–28.

[11] [11] Milan Sonka, Vaclav Hlavac, Roger Boyle. Image processing, Analysis and Machine Vision[M]. Beijing: Tsinghua University Press, 2011: 230–231. Milan Sonka, Vaclav Hlavac, Roger Boyle.