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Computational Intelligence and Neuroscience
Volume 2011 (2011), Article ID 749054, 7 pages
Research Article

Retinal Image Matching Using Hierarchical Vascular Features

1Department of Computer Science and Software Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia
2Centre for Eye Research Australia, The University of Melbourne, Melbourne, VIC 3002, Australia

Received 16 March 2011; Revised 29 July 2011; Accepted 1 August 2011

Academic Editor: Andrzej Cichocki

Copyright © 2011 Alauddin Bhuiyan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We propose a method for retinal image matching that can be used in image matching for person identification or patient longitudinal study. Vascular invariant features are extracted from the retinal image, and a feature vector is constructed for each of the vessel segments in the retinal blood vessels. The feature vectors are represented in a tree structure with maintaining the vessel segments actual hierarchical positions. Using these feature vectors, corresponding images are matched. The method identifies the same vessel in the corresponding images for comparing the desired feature(s). Initial results are encouraging and demonstrate that the proposed method is suitable for image matching and patient longitudinal study.