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THE IDENTIFICATION OF PERSONS USING EYE BIOMETRICS IN A SOCIETY WITH HIGH SECURITY DEMANDS

Barbora Kotková, Marta Blahova

First published: 2023-10-01https://doi.org/10.5593/sgem2023/2.1/s07.13View metrics

Abstract

The article presents the possibilities of using retinal images for identification of persons using biometric technologies. The properties of the retina that are used for identification are completely unique to each person and do not change over time. The probability that two exactly the same retinal vasculature patterns will be mismatched is very low to zero. Therefore, the use of retina for biometric identification is rated as very accurate in contrast to the reliability of other biometric methods and is used in areas with the highest security requirements. For a comprehensive understanding of the issue, the article contains an overview of biometric technologies, biometric properties and their characteristics. The processing principle and user requirements are described, the advantages and disadvantages of individual technologies are summarized. Subsequently, their reliability is compared according to established criteria. Since identification using the retina turns out to be the most reliable, the article only focuses more specifically on it. The structure of the eye and retina is described in detail, the principle of obtaining, storing and comparing images with the aim of achieving a result in the form of agreement or disagreement between two images. Emphasis is also placed on the safe storage of information obtained in this way with regard to the GDPR in the European Union. At the end of the article, the assessment of the reliability of the biometric system, the financial demands and the possibilities of implementation in companies where the risk of attack and the amount of damage caused are so high that the investment in the biometric system is definitely worth it.

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Publication details

Title
THE IDENTIFICATION OF PERSONS USING EYE BIOMETRICS IN A SOCIETY WITH HIGH SECURITY DEMANDS
Authors
Barbora Kotková, Marta Blahova
Proceedings
SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 23rd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2023, Informatics, Geoinformatics and Remote Sensing, Vol 23, Issue 2.1.
Publisher
STEF92 Technology
Year
2023
Pages
97-104
SWS Citekey
Kotkova2023797104
ISSN
1314-2704
ISBN
978-619-7603-57-6
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
References8
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