The retina blood vessel pattern characterizes each individual and it is almost impossible to forge that pattern in a false individual. The registration stage is necessary since the position of the retinal vessel structure change between acquisitions due to the movements of the eye. Nodes registration plays an extremely important role as it is often the essential step for various applications such as identification of different images of the same individual. The image registration process concerns feature detection, feature matching and transformation model. In this paper, we present a methodology for retina registration based on retinal feature points which are the nodes of the blood vessels network. We present also some experiments to test retinal images from the publicly available Drive fundus image database. The proposed methodology achieves good results for registration.
registration, retina blood vessel pattern, nodes, biometrics
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