References

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.

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.

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.

TVM14

Pedro Tome, Matthias Vanoni and Sébastien Marcel, On the Vulnerability of Finger Vein Recognition to Spoofing, in: IEEE International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germay, pages 1 - 10, IEEE, 2014

TV13

B. Ton and R. Veldhuis, A high quality finger vascular pattern dataset collected using a custom designed capturing device, in: IAPR International Conference on Biometrics (ICB), 2013.

CW09

J.H. Choi, W. Song, T. Kim, S.R. Lee and H.C. Kim, Finger vein extraction using gradient normalization and principal curvature, Proceedings on Image Processing: Machine Vision Applications II, SPIE 7251, 2009.