Dual-feature and multi-scale fusion using U-net deep learning model for ECG biometric recognition

Aiming at the challenges that the traditional photoplethysmography (PPG) biometrics is not robust and precision of recognition, this paper proposes a dual-feature and multi-scale fusion using U2-net deep learning model (DMFUDM). First, to obtain complementary information of different features, we ex...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2023-11, Vol.45 (5), p.7445
Hauptverfasser:	Hu, Zunmei, Huang, Yuwen, Yang, Yuzhen
Format:	Artikel
Sprache:	eng
Schlagworte:	Biometrics Deep learning Modules Robustness
Online-Zugang:	Volltext
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