Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)

Method for Reduction the Errors of Likelihood in the Authentication by the Iris

Authors
Dmitrii V. Orel, Aleksandr P. Zhuk, Tatyana V. Minkina, Anna G. Vanina
Corresponding Author
Dmitrii V. Orel
Available Online December 2019.
DOI
10.2991/csit-19.2019.38How to use a DOI?
Keywords
iris, biometrics, control system, authentication, filtering, False Rejection Rate, visible lightning, infrared lightning, residual classes system.
Abstract

The article describes the influence of lighting on the accuracy of users authentication in access control systems on the iris. The low contrast of the iris image is the reason that increases the number of errors because of different lighting at the stages of registration and authentication of the user. Depending on the wavelength of light in which the iris is registered, various details appear on it, and their severity depends on the type of eye. Most light eyes give the clearest picture in visible light. On the contrary, the structures of dark eyes clearly appear in the infrared range. It is recommended to use an iris biometric authentication system with the functionality of visible and infrared scanning ranges. Then the system should evaluate the quality of the images obtained in the visible and infrared scanning ranges and select the best quality. This lead to the addition of a new step in the recognition algorithm, which increases the running time of the algorithm as a whole. To compensate the time required for that, it is recommended to use an optimal set of modules of residual classes system, which will improve the performance and technical characteristics of digital filters.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)
Series
Atlantis Highlights in Computer Sciences
Publication Date
December 2019
ISBN
10.2991/csit-19.2019.38
ISSN
2589-4900
DOI
10.2991/csit-19.2019.38How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dmitrii V. Orel
AU  - Aleksandr P. Zhuk
AU  - Tatyana V. Minkina
AU  - Anna G. Vanina
PY  - 2019/12
DA  - 2019/12
TI  - Method for Reduction the Errors of Likelihood in the Authentication by the Iris
BT  - Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)
PB  - Atlantis Press
SP  - 218
EP  - 222
SN  - 2589-4900
UR  - https://doi.org/10.2991/csit-19.2019.38
DO  - 10.2991/csit-19.2019.38
ID  - Orel2019/12
ER  -