A Machine Learning Framework for Biometric Authentication Using Electrocardiogram

A Machine Learning Framework for Biometric Authentication Using Electrocardiogram

This paper introduces a framework for how to appropriately adopt and adjust machine learning (ML) techniques used to construct electrocardiogram (ECG)-based biometric authentication schemes. The proposed framework can help investigators and developers on ECG-based biometric authentication mechanisms...

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Bibliographic Details
Main Authors: Song-Kyoo Kim, Chan Yeob Yeun, Ernesto Damiani, Nai-Wei Lo
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Authentication
biomedical signal processing
electrocardiogram (ECG)
identification
MATLAB
machine learning
Online Access:https://ieeexplore.ieee.org/document/8756039/

Internet

https://ieeexplore.ieee.org/document/8756039/

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