Federated Multi-Modal Biometrics: A Privacy-Centric Approach to Face and Eye Blink Based Authentication

Authors

  • MUTAKANI PETER, SHAIK LAL JOHN BASHA, PALEPOGU.RAJASEKHAR,CHENNEBOYINA CHANDRAKALA, Dr.K.PRAVEENA Author

DOI:

https://doi.org/10.48047/79k6bp74

Keywords:

Federated Learning, Face Recognition, Eye Blink Detection, Multi-Modal Authentication, Privacy-Preserving AI, Biometric Security, OpenCV, Deep Learning, User Verification, Decentralized Learning.

Abstract

With growing concerns around data privacy and identity  fraud, biometric authentication systems are increasingly sought for their ability to offer secure and usecentric access control. This paper introduces a novel multimodal biometric authentication framework that integrates facial recognition and eye-blink detection under a federated learning paradigm. By leveraging OpenCV for real

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Published

20.03.2025

How to Cite

Federated Multi-Modal Biometrics: A Privacy-Centric Approach to Face and Eye Blink Based Authentication . (2025). International Journal of Information and Electronics Engineering, 15(3), 28-33. https://doi.org/10.48047/79k6bp74