Finger vein denoising algorithm based on gradient-oriented residual structure and LBP texture loss
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02795-6.pdf
Reference16 articles.
1. Wu, Jian-Da., Ye, Siou-Huan.: Driver identification using finger-vein patterns with Radon transform and neural network. Expert Systems with Applications 36(3), 5793–5799 (2009). (Elsevier)
2. Song, Jong Min, Kim, Wan, Park, Kang Ryoung: Finger-vein recognition based on deep DenseNet using composite image. Ieee Access 7, 66845–66863 (2019). (IEEE)
3. Ren, Hengyi, Sun, Lijuan, Guo, Jian, Han, Chong, Wu, Fan: Finger vein recognition system with template protection based on convolutional neural network. Knowledge-Based Systems 227, 107159 (2021). (Elsevier)
4. Thanh, Dang NH., Hien, Nguyen Ngoc, Kalavathi, P., Prasath, VB Surya.: Adaptive switching weight mean filter for salt and pepper image denoising. Procedia Computer Science 171, 292–301 (2020). (Elsevier)
5. Bhateja, Vikrant, Rastogi, Kartikeya, Verma, Aviral, Malhotra, Chirag: A non-iterative adaptive median filter for image denoising. 2014 International Conference on Signal Processing and Integrated Networks (SPIN), 171,113–118 (2014). IEEE
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