Optimizing Wet Fingerprint Denoising Net for Enhanced Biometric Security

Biometric systems such as fingerprint recognition encounter significant challenges under wet conditions or small fingerprints, where noise degrades recognition accuracy. These challenges increase false acceptance rates (FARs) and false rejection rates (FRRs) as conventional denoising models designed...

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Bibliographic Details
Main Authors: Mao-Hsiu Hsu, Ying-Hong Shi
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/92/1/64
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