Feature Similarity-Based Finger Vein Image Quality Assessment Method-Reference-Cited by-同舟云学术

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Feature Similarity-Based Finger Vein Image Quality Assessment Method

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 42nd Chinese Control Conference (CCC)
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Author:

Guo Jian¹,Liu Xingli¹,Huang Yanan²,Zhang Yibo¹,Guo Zijie¹

Affiliation:

1. School of Computer Science, Nanjing University of Posts and Telecommunications,Nanjing,P. R. China,210023

2. Nanjing University of Posts and Telecommunications,Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks,Nanjing,P. R. China,210023

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10239690/10239711/10241088.pdf?arnumber=10241088

Reference9 articles.

1. SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance

2. Finger vein recognition based on improved ResNet;wang;Laser and Optoelectronics Progress,2021

3. SDUMLA-HMT: A Multimodal Biometric Database;yin;Proceedings of the 6th Chinese Conference on Biometric Recognition,0

4. New Finger-vein Recognition Method Based on Image Quality Assessment;nguyen;KSII Transactions on Internet and Information Systems,2013

5. Quality assessment of finger-vein image;qin;Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference,0

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