Deep learning-based restoration of multi-degraded finger-vein image by non-uniform illumination and noise-Reference-Cited by-同舟云学术

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Deep learning-based restoration of multi-degraded finger-vein image by non-uniform illumination and noise

Published:2024-07 Issue: Volume:133 Page:108036
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Hong Jin Seong,Kim Seung Gu,Kim Jung Soo^ORCID,Park Kang Ryoung

Funder

Korea Ministry of Science and ICT

Publisher

Elsevier BV

Reference78 articles.

1. Biometric authentication with finger vein images based on quadrature discriminant analysis;Akila,2021

2. Deep generative modelling: a comparative review of VAEs, GANs, normalizing flows, energy-based and autoregressive models;Bond-Taylor;IEEE Trans. Pattern Anal. Mach. Intell.,2021

3. Gated context aggregation network for image dehazing and deraining;Chen,2018

4. Simple baselines for image restoration;Chen,2022

5. Restoration of motion blurred image by modified DeblurGAN for enhancing the accuracies of finger-vein recognition;Choi;Sensors,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fine-tuned Siamese neural network–based multimodal vein biometric system with hybrid firefly–particle swarm optimization;Journal of Electronic Imaging;2024-08-02

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