Electrocardiogram-Based Biometric Identification Using Mixed Feature Extraction and Sparse Representation
(1) Background: The ability to recognize identities is an essential component of security. Electrocardiogram (ECG) signals have gained popularity for identity recognition because of their universal, unique, stable, and measurable characteristics. To ensure accurate identification of ECG signals, thi...
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Published in | Sensors (Basel, Switzerland) Vol. 23; no. 22; p. 9179 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Basel
MDPI AG
01.11.2023
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Subjects | |
Online Access | Get full text |
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