Off-Person ECG Biometrics Using Spatial Representations and Convolutional Neural Networks

Off-Person ECG Biometrics Using Spatial Representations and Convolutional Neural Networks

Targeting off-person ECG-based biometrics, we report a comparative analysis of identification accuracy and verification Equal Error Rate (EER) performances of four distinct types of spatial representations of ECG signals applied as inputs to Convolutional Neural Networks. The actual algorithms used...

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Bibliographic Details
Main Authors: Iulian B. Ciocoiu, Nicolae Cleju
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Biometrics
off-person
ECG
spatial representation
deep learning
Online Access:https://ieeexplore.ieee.org/document/9281045/

Internet

https://ieeexplore.ieee.org/document/9281045/

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