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The Evolution of Biometric Authentication: A Deep Dive Into Multi-Modal Facial Recognition: A Review Case Study
Ali, N.T.
Ali, N.T.
Publication Date
2024-12-09
End of Embargo
Supervisor
Keywords
Facial recognition (FR), Multi-modal face recognition, Security biometrics, Identity verification, Sejong face database, Deep learning techniques, Facial disguises, Biometric authentication, Machine learning models, Face recognition, Accuracy, Feature extraction, Thermal analysis, Surveys, Ethics, Databases, Quantum computing, Privacy
Rights
© 2024 The Authors. This work is licenced under the Creative Commons CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Peer-Reviewed
Yes
Open Access status
openAccess
Accepted for publication
2024-10-18
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Department
Awarded
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Additional title
Abstract
This survey provides an insightful overview of recent advancements in facial recognition
technology, mainly focusing on multi-modal face recognition and its applications in security biometrics and identity verification. Central to this study is the Sejong Face Database, among other prominent datasets, which facilitates the exploration of intricate aspects of facial recognition, including hidden and heterogeneous face recognition, cross-modality analysis, and thermal-visible face recognition. This paper delves into the challenges of accurately identifying faces under various conditions and disguises, emphasising its significance in security systems and sensitive sectors like banking. The survey highlights novel contributions
such as using Generative Adversarial Networks (GANs) to generate synthetic disguised faces, Convolutional Neural Networks (CNNs) for feature extractions, and Fuzzy Extractors to integrate biometric verification with cryptographic security. The paper also discusses the impact of quantum computing on encryption techniques and the potential of post-quantum cryptographic methods to secure biometric systems. This survey is a critical resource for understanding current research and prospects in biometric authentication, balancing technological advancements with ethical and privacy concerns in an increasingly digital society.
Version
Published version
Citation
Abdul-Al M, Kyeremeh GK, Qahwaji R, et al (2024) The Evolution of Biometric Authentication: A Deep Dive Into Multi-Modal Facial Recognition: A Review Case Study' IEEE Access. 12: 179010-179038
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Type
Article