Publication Details
Investigation of Bilateral Similarity in Central Retinal Blood Vessels
Rohdin Johan A., Dr. (DCGM FIT BUT)
Kavetskyi Andrii (DITS FIT BUT)
Alves Saraiva Gabriel (FIT BUT)
Biswas Angkan (CAPM)
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT)
retina, symmetry, central retinal blood vessels, deep neural network, biometric system
While our left and right eyes clearly have a high degree of external bilateral similarity, it is less obvious to what degree they have internal bilateral similarity. This is especially true for the 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 investigate whether the CRBVs of the left and right retinas possess strong enough bilateral similarity so that we reliably tell whether a pair of the left and right retinas belong to a single subject. We evaluate and analyse the performance of both human- and deep neural network-based bilateral verification by experimenting on two publicly available data sets.
@ARTICLE{FITPUB12203, author = "Sangeeta Biswas and A. Johan Rohdin and Andrii Kavetskyi and Gabriel Saraiva Alves and Angkan Biswas and Martin Drahansk\'{y}", title = "Investigation of Bilateral Similarity in Central Retinal Blood Vessels", pages = "63012--63028", journal = "IEEE Access", volume = 2021, number = 9, year = 2021, ISSN = "2169-3536", doi = "10.1109/ACCESS.2021.3074514", language = "english", url = "https://www.fit.vut.cz/research/publication/12203" }