Abstract
Recently more interest in retina-based human recognition is observable. It is connected with the fact that this biometrics trait can guarantee absolute certainty in the case of human identity. In the literature, one can easily observe that most of the algorithms are based on veins system and its pattern. A method to extract recently mentioned structure is presented in this paper. The proposed approach consists of three main parts: preprocessing, segmentation and unnecessary artifacts removal. During the research, the authors used different image processing methods for veins system extraction, especially diversified binarization algorithms and edge detection approaches were tested. In the time of the experiments the authors took into consideration not only accuracy but also proposed solution efficiency. Performed tests have shown that it is clearly possible to extract veins system with satisfactory precision and efficiency.
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Acknowledgment
The authors are thankful to Medical University of Białystok, Faculty of Medicine, Department of Ophthalmology, especially to Dr Emil Saeed, for their support and providing a sample database.
This work was supported partially by grant S/WI/3/2018 and by grant WI/WI/2/2019 from Białystok University of Technology and funded with resources for research by the Ministry of Science and Higher Education in Poland.
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Szymkowski, M., Najda, D., Saeed, K. (2019). An Algorithm for Exact Retinal Vein Extraction. In: Saeed, K., Chaki, R., Janev, V. (eds) Computer Information Systems and Industrial Management. CISIM 2019. Lecture Notes in Computer Science(), vol 11703. Springer, Cham. https://doi.org/10.1007/978-3-030-28957-7_7
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