4.6 Article

Investigation of Bilateral Similarity in Central Retinal Blood Vessels

Journal

IEEE ACCESS
Volume 9, Issue -, Pages 63012-63028

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3074514

Keywords

Retina; Biometrics (access control); Biological systems; Arteries; Veins; Optical imaging; Biomedical optical imaging; Retina; symmetry; central retinal blood vessels; deep neural network; biometric system

Funding

  1. Project Reliable, Secure, and Ef~cient Computer Systems'', BUT [FIT-S-20-6427]

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The research investigates the bilateral similarity of central retinal blood vessels in the left and right retinas for biometric identification. The performance of human- and deep neural network-based bilateral verification is evaluated and analyzed through experiments on publicly available datasets.
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.

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