Extraction and Classification of Blood Vessel Minutiae in the Image of a Diseased Human Retina

Khalid Saeed , Piotr Szymkowski

Abstract

The work presents a created methodology for detecting minutiae in the image of the retina of a sick person’s eye. The worked out algorithm is used to find areas of distribution and classification of minutiae in ill human eye retinal image. The main goal of the proposed approach is to classify all minutiae into groups based on the distance from the center of the image and the distance from the edge of the image that is closer to the blind spot. For the separation of blood vessels from the image, Otsu algorithm and background subtraction were used. To get line representation of blood vessels that helps find minutiae in images, the K3M thinning algorithm was used. The proposed algorithm shows one of the most basic solutions for finding the characteristic points in a biometric image. The last step of the presented algorithm introduces an example of minutiae classification.
Author Khalid Saeed (FCS / DDMCG)
Khalid Saeed,,
- Department of Digital Media and Computer Graphics
, Piotr Szymkowski (FCS)
Piotr Szymkowski,,
- Faculty of Computer Science
Pages 27-45
Publication size in sheets0.9
Book Rituparna Chaki, Cortesi Agostino, Saeed Khalid, Chaki Nabendu (eds.): Advanced Computing and Systems for Security, Advances in Intelligent Systems and Computing, vol. 897, no. 7, 2019, Springer, ISBN 978-981-13-3249-4, 171 p., DOI:10.1007/978-981-13-3250-0
Keywords in EnglishBlood vessels, Minutiae, Eye disease, Biometrics
DOIDOI:10.1007/978-981-13-3250-0_3
Internal identifier000044633
Languageen angielski
Score (nominal)5
Score sourcejournalList
ScoreBUT score = 0.0, manual
Ministerial score = 5.0, 02-04-2020, ChapterFromConference
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