Work

AiRDUNet: All-In-One Residual Dense U-Net with Automated Humidity Quality Assessment for Partial Wet Fingerprint Restoration and Recognition

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)

DOI: 10.1109/aicas64808.2025.11173142

Authors: Jui-Min Hsu, Ching-Te Chiu, Mao-Hsiu Hsu, Che-Wei Liao

Institutions: National Tsing Hua University, National Formosa University, National University of Formosa

Language: English

Topic: Biometric Identification and Security

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4414500172

FWCI: 0.977

Cites: 28

Cited by: 1

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