Publication Details

Bilateral Symmetry in Central Retinal Blood Vessels

BISWAS, S.; ROHDIN, J.; DRAHANSKÝ, M. Bilateral Symmetry in Central Retinal Blood Vessels. In 8th International Workshop on Biometrics and Forensics, IWBF 2020. Porto: IEEE Computer Society, 2020. p. 1-6. ISBN: 978-1-7281-6232-4.
Czech title
Bilaterální symetrie v krevních cévách centrální sítnice
Type
conference paper
Language
English
Authors
Biswas Sangeeta, Ph.D. (UITS)
Rohdin Johan Andréas, M.Sc., Ph.D. (DCGM)
Drahanský Martin, prof. Ing., Ph.D.
Keywords

retina, symmetry, central retinal blood vessels, deep neural network

Abstract

Symmetry can be defined as uniformity, equivalence or exact similarity of two parts divided along an axis. While our left and right eyes clearly have a high degree of external bilateral symmetry, it is less obvious to what degree they have internal bilateral symmetry. This is especially true for central retinal blood vessels (CRBVs) which are responsible for supplying blood to retinas and also can be used as a strong biometric. In this paper, we study whether CRBVs of the left and right retinas possess strong enough bilateral symmetry so that we reliably tell whether a pair of CRBVs of the left and right retinas belongs to a single person. We evaluate and analyse the performance of both human and neural network based bilateral CRBVs verification. By experimenting on a large publicly available data set, we confirm that CRBVs have bilateral symmetry to some extent.

Published
2020
Pages
1–6
Proceedings
8th International Workshop on Biometrics and Forensics, IWBF 2020
ISBN
978-1-7281-6232-4
Publisher
IEEE Computer Society
Place
Porto
DOI
UT WoS
000589628500025
EID Scopus
BibTeX
@inproceedings{BUT164066,
  author="Sangeeta {Biswas} and Johan Andréas {Rohdin} and Martin {Drahanský}",
  title="Bilateral Symmetry in Central Retinal Blood Vessels",
  booktitle="8th International Workshop on Biometrics and Forensics, IWBF 2020",
  year="2020",
  pages="1--6",
  publisher="IEEE Computer Society",
  address="Porto",
  doi="10.1109/IWBF49977.2020.9107969",
  isbn="978-1-7281-6232-4",
  url="https://www.fit.vut.cz/research/publication/12204/"
}
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