Abstract
This paper deals with a proposal of the algorithm for features extraction from the blood vessels on the back of eyeball. Automated extraction is based on the bifurcations (points where a single vessel splits into two vessels) in retina. Each particular bifurcation is subsequently specified by its own position given by the coordinate system derived from the mutual position of the optic disc and fovea. The complete algorithm has been developed in C++ language and uses OpenCV library for image processing. This proposed method was evaluated on available images of the STARE and DRIVE databases.
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© 2012 Springer-Verlag Berlin Heidelberg
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Drozd, R., Hájek, J., Drahanský, M. (2012). An Algorithm for Retina Features Extraction Based on Position of the Blood Vessel Bifurcation. In: Zheng, WS., Sun, Z., Wang, Y., Chen, X., Yuen, P.C., Lai, J. (eds) Biometric Recognition. CCBR 2012. Lecture Notes in Computer Science, vol 7701. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35136-5_37
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DOI: https://doi.org/10.1007/978-3-642-35136-5_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35135-8
Online ISBN: 978-3-642-35136-5
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