Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)

<Previous Article In Volume
Next Article In Volume>

Transfer Learning Approach to Enhance a Student Attendance System Through Fingerprint Recognition

Authors
Slimane Ennajar1, *, Walid Bouarifi1
1Mathematical Team and Information Processing National School of Applied Sciences, Safi, Cadi Ayyad University, Marrakesh, Morocco
*Corresponding author. Email: slimane.ennajar@ced.uca.ma
Corresponding Author
Slimane Ennajar
Available Online 20 June 2025.
DOI
10.2991/978-2-38476-408-2_24How to use a DOI?
Keywords
Transfer Learning; Student Attendance System; Fingerprint Recognition; Educational Technology
Abstract

This study investigates a new transfer learning approach designed to improve the accuracy and efficiency of a student attendance system using advanced fingerprint recognition methods. By employing pre-trained models such as the Xception and InceptionResNetV2 architectures, the research highlights the significant benefits of transfer learning in enhancing fingerprint-based student identification. The method strategically utilizes data augmentation techniques to address challenges related to limited dataset sizes, ensuring robust validation and improved scalability. The evaluation of the approach encompasses various performance metrics, including accuracy, precision, recall, F1 score, and MCC, providing a comprehensive understanding of its effectiveness. Achieving a 100% accuracy rate in fingerprint recognition underscores the reliability and practical feasibility of the transfer learning approach in student attendance systems. This study offers valuable insights into the intersection of biometrics and educational technology, facilitating the development of precise attendance tracking systems with broader applications in educational environments. The success of the proposed approach suggests promising opportunities for further research and development, indicating a positive trajectory for improving student-focused technological solutions.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
20 June 2025
ISBN
978-2-38476-408-2
ISSN
2667-128X
DOI
10.2991/978-2-38476-408-2_24How 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  - Slimane Ennajar
AU  - Walid Bouarifi
PY  - 2025
DA  - 2025/06/20
TI  - Transfer Learning Approach to Enhance a Student Attendance System Through Fingerprint Recognition
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)
PB  - Atlantis Press
SP  - 323
EP  - 338
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-2-38476-408-2_24
DO  - 10.2991/978-2-38476-408-2_24
ID  - Ennajar2025
ER  -