SUPPORT VECTOR MACHINE FOR HUMAN IDENTIFICATION BASED ON NON-FIDUCIAL FEATURES OF THE ECG

SUPPORT VECTOR MACHINE FOR HUMAN IDENTIFICATION BASED ON NON-FIDUCIAL FEATURES OF THE ECG

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The demand for reliable identification systems has grown recently. Using the mean frequency, median frequency, band power, and Welch power spectral density (PSD) of ECG data, we proposed a novel biometric approach in this study. ECG signals are more secure than other traditional biometric modalitie...

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Bibliographic Details
Main Authors: HATEM ZEHIR, TOUFIK HAFS, SARA DAAS, AMINE NAIT-ALI
Format: Article
Language:English
Published: Alma Mater Publishing House "Vasile Alecsandri" University of Bacau 2023-05-01
Series:Journal of Engineering Studies and Research
Subjects:
biometrics, hidden biometrics, security, identification, ECG, machine learning, SVM
Online Access:https://www.jesr.ub.ro/1/article/view/373

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