Cancelable Multi-Branch Deep Learning Framework for Privacy-Preserving ECG Biometric Authentication

Cancelable Multi-Branch Deep Learning Framework for Privacy-Preserving ECG Biometric Authentication

Recently, biometric authentication systems have become essential tools for secure and reliable identity verification. Electrocardiogram (ECG) biometrics are particularly effective because of the unique electrical activity patterns of the heart. However, storing and processing raw ECG data raises pri...

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Bibliographic Details
Main Authors: Mohamed Hammad, Ali Abdullah S. AlQahtani, Mohammed ELAffendi, Abdelhamied A. Ateya, Nebojsa Bacanin
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Cancelable biometrics
ECG authentication
privacy preservation
multi-branch deep learning
information fusion
Online Access:https://ieeexplore.ieee.org/document/11069271/
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https://ieeexplore.ieee.org/document/11069271/

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