Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024)

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An Analysis of Advanced FaceNet Deep Learning Algorithm in Facial Authentication

Authors
D. Gayathri1, *, V. Raghavendran2
1Research Scholar, Department Computer Science, VISTAS, Chennai, India
2Assistant Professor, Department of Computer Science, VISTAS, Chennai, India
*Corresponding author. Email: gayathri.d1992@gmail.com
Corresponding Author
D. Gayathri
Available Online 3 June 2024.
DOI
10.2991/978-94-6463-433-4_41How to use a DOI?
Keywords
Deep-Learning Networks; Traditional FaceNet algorithm; Advanced-FaceNet Algorithm; Metrics
Abstract

Emerging Deep-Learning techniques are highly effective face recognition models, primarily due to the ability to learn complex data representations through multiple layers of processing. Convolutional-neural networks (CNNs) has proven to be the cornerstone of face-recognition systems based on deep learning and plays a central role in their success. This paper explores the architecture, feature extraction, face matching through deep learning features, and the enhancement of the Traditional FaceNet algorithm to an advanced FaceNet Deep Learning Algorithm through additional feature recognition like jaw lines and forehead lines can be used to prove optimum results in accuracy, Mean Average Precision, face verification-accuracy Receiver Operating Characteristic (ROC) Curve, Recall, F1 Score, Face Identification Accuracy.

Copyright
© 2024 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 Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
3 June 2024
ISBN
978-94-6463-433-4
ISSN
2352-5428
DOI
10.2991/978-94-6463-433-4_41How to use a DOI?
Copyright
© 2024 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  - D. Gayathri
AU  - V. Raghavendran
PY  - 2024
DA  - 2024/06/03
TI  - An Analysis of Advanced FaceNet Deep Learning Algorithm in Facial Authentication
BT  - Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundaries (DTBNNF 2024)
PB  - Atlantis Press
SP  - 546
EP  - 554
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-433-4_41
DO  - 10.2991/978-94-6463-433-4_41
ID  - Gayathri2024
ER  -