A finger-vein recognition method based on double-weighted group sparse representation classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s13042-022-01558-y.pdf
Reference38 articles.
1. Kang W, Lu Y, Li D, Jia W (2019) From noise to feature: exploiting intensity distribution as a novel soft biometric trait for finger vein recognition. IEEE Trans Inf Forensics Secur 14(4):858–869
2. Adiraju RV, Masanipalli KK, Reddy TD, Pedapalli R, Chundru S, Panigrahy AK (2021) An extensive survey on finger and palm vein recognition system. Mater Today Proc 45:1804–1808
3. Xie C, Kumar A (2019) Finger vein identification using convolutional neural network and supervised discrete hashing. Pattern Recognit Lett 119:148–156
4. Liu H, Yang G, Yang L, Yin Y (2019) Learning personalized binary codes for finger vein recognition. Neurocomputing 365:62–70
5. You W, Zhou W, Huang J, Yang F, Liu Y, Chen Z (2019) A bilayer image restoration for finger vein recognition. Neurocomputing 348:54–65
Cited by 3 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. Multi scale-aware attention for pyramid convolution network on finger vein recognition;Scientific Reports;2024-01-04
2. Finger Vein Recognition Based on Oval Parameter-Dependent Convolutional Neural Networks;Arabian Journal for Science and Engineering;2023-03-28
3. Axially Enhanced Local Attention Network for Finger Vein Recognition;IEEE Transactions on Instrumentation and Measurement;2023
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