Investigation of Bilateral Similarity in Central Retinal Blood Vessels
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU142891" target="_blank" >RIV/00216305:26230/21:PU142891 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9409039" target="_blank" >https://ieeexplore.ieee.org/document/9409039</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2021.3074514" target="_blank" >10.1109/ACCESS.2021.3074514</a>
Alternative languages
Result language
angličtina
Original language name
Investigation of Bilateral Similarity in Central Retinal Blood Vessels
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Access
ISSN
2169-3536
e-ISSN
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Volume of the periodical
2021
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
17
Pages from-to
63012-63028
UT code for WoS article
000645855900001
EID of the result in the Scopus database
2-s2.0-85104683439