A Dual-Level Cancelable Framework for Palmprint Verification and Hack-Proof Data Storage

In recent years, palmprints have been extensively utilized for individual verification. The abundance of sensitive information in palmprint data necessitates robust protection to ensure security and privacy without compromising system performance. Existing systems frequently use cancelable transform...

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Veröffentlicht in:	IEEE transactions on information forensics and security 2024, Vol.19, p.8587-8599
Hauptverfasser:	Yang, Ziyuan, Kang, Ming, Teoh, Andrew Beng Jin, Gao, Chengrui, Chen, Wen, Zhang, Bob, Zhang, Yi
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Biometrics cancellable biometrics competition neural network Feature extraction negative database Palmprint verification Probes Protection replay attacks Security
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