M. Villalobos-castaldi and E. M. Felipe-riverón, Fast Automatic Retinal Vessel Segmentation and Vascular Landmarks Extraction Method for Biometric Applications, IEEE International Conference on Biometrics, 2009.

A. Bartocha, E. Saeed, P. Wachulec, and K. Saeed, Algorithm for Retina Recognition, International Conference on Applied Computation and Security Systems (ACSS), proceeding on CD, 2014.

S. Chaudhuri, S. Chatterjee, N. Katz, M. Nelson, and M. Goldbaum, Detection of blood vessels in retinal images using two-dimensional matched filters, IEEE Transactions on Medical Imaging, vol.8, issue.3, 1989.
DOI : 10.1109/42.34715

T. Chanwimaluang and G. Fan, An efficient blood vessel detection algorithm for retinal images using local entropy thresholding, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03., 2003.
DOI : 10.1109/ISCAS.2003.1206162

Z. Hongqing, Segmentation of Blood Vessels in Retinal Images using 2-D Entropies of Gray Level-Gradient Co-occurrence Matrix, ICASSP, 2004.

K. Saeed, M. Rybnik, M. Tabedzki, and M. Adamski, K3M: A universal algorithm for image skeletonization and a review of thinning techniques, International Journal of Applied Mathematics and Computer Science, vol.20, issue.2, pp.317-335, 2010.
DOI : 10.2478/v10006-010-0024-4

C. Sinthanayothin, J. F. Boyce, H. L. Cook, and T. H. Williamson, Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images, British Journal of Ophthalmology, vol.83, issue.8, 1999.
DOI : 10.1136/bjo.83.8.902