Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)

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AVAO Enabled Deep Learning Based Person Authentication Using Fingerprint

Authors
Rasika Deshmukh1, Pravin Yannawar2, *
1Department of Computer Science, Fergusson College (Autonomous), Pune, India
2Department of Computer Science, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India
*Corresponding author. Email: plyannawar.csit@bamu.ac.in
Corresponding Author
Pravin Yannawar
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-196-8_26How to use a DOI?
Keywords
Person authentication; fingerprint; Deep Maxout Network; AVOA; AO
Abstract

Person authentication based on biometrics has been a major aspect accountable for providing security to cyberspace. The traditional biometric-based systems are based on the usage of single modality, which are potentially devoid of the capability to provide high security. A Deep Maxout Network (DMN) is utilized for performing person authentication on the basis of fingerprint. A novel optimization algorithm, named African vultures-Aquila Optimization (AVAO) algorithm is devised for updating the weights of the DMN. The strategies of the African Vulture Optimization Algorithm (AVOA) are modified according to the expanded exploration capability of the Aquila Optimizer (AO) to develop the proposed AVAO algorithm. The introduced optimization enabled deep learning based person authentication system achieved an accuracy of 0.927, sensitivity of 0.938 and specificity of 0.930,thereby showing superior performance.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
Series
Advances in Intelligent Systems Research
Publication Date
10 August 2023
ISBN
978-94-6463-196-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-196-8_26How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Rasika Deshmukh
AU  - Pravin Yannawar
PY  - 2023
DA  - 2023/08/10
TI  - AVAO Enabled Deep Learning Based Person Authentication Using Fingerprint
BT  - Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
PB  - Atlantis Press
SP  - 327
EP  - 346
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-196-8_26
DO  - 10.2991/978-94-6463-196-8_26
ID  - Deshmukh2023
ER  -