Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)

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FACEPROOF: Enhanced Secured Face Recognition for Attendance Using Machine Learning

Authors
R. Rajesh Sharma1, *, Akey Sungheetha1, R. C. Karpagalakshmi1, Sheila Mahapatra1, G. S. Pradeep Ganthasala1
1School of Advanced Computing, Alliance University, Anekal, Karnataka, India
*Corresponding author. Email: rajeshsharma.r@alliance.edu.in
Corresponding Author
R. Rajesh Sharma
Available Online 22 June 2025.
DOI
10.2991/978-94-6463-738-0_31How to use a DOI?
Keywords
Attendance system; Face recognition; Deep learning; Convolutional Neural Networks (CNNs); Biometric authentication; Security; Artificial Intelligence
Abstract

Face recognition-based attendance systems offer a modern and efficient alternative to traditional attendance tracking methods. However, existing systems face challenges related to accuracy, security vulnerabilities, and adaptability to different environments. This paper increases the scale and scope of the current FACEPROOF system through the incorporation of better deep learning approaches, stronger security measures, and more effective database handling for online applications. The proposed framework is built on top of state-of-the-art convolutional neural networks (CNNs) to enhance the recognition rate and counter fake identities and inconsistent illumination conditions. The system is tested in real-life conditions, and the results show that the new model is more effective and more stable than the previous models.

Copyright
© 2025 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 International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
Series
Advances in Intelligent Systems Research
Publication Date
22 June 2025
ISBN
978-94-6463-738-0
ISSN
1951-6851
DOI
10.2991/978-94-6463-738-0_31How to use a DOI?
Copyright
© 2025 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  - R. Rajesh Sharma
AU  - Akey Sungheetha
AU  - R. C. Karpagalakshmi
AU  - Sheila Mahapatra
AU  - G. S. Pradeep Ganthasala
PY  - 2025
DA  - 2025/06/22
TI  - FACEPROOF: Enhanced Secured Face Recognition for Attendance Using Machine Learning
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 378
EP  - 386
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_31
DO  - 10.2991/978-94-6463-738-0_31
ID  - Sharma2025
ER  -