Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend
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Abstract (arXiv)
Finger vein image recognition technology plays an important role in biometric recognition and has been successfully applied in many fields. Because veins are buried beneath the skin tissue, finger vein image recognition has an unparalleled advantage, which is not easily disturbed by external factors. This review summarizes 46 papers about deep learning for finger vein image recognition from 2017 to 2021. These papers are summarized according to the tasks of deep neural networks. Besides, we present the challenges and potential development directions of finger vein image recognition.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 4 of its 65 references that are in the map. First posted on arXiv 5 Jul 2022.
Builds on
4 of 65 references.
References · 4
- 2015Deep Residual Learning for Image Recognitioncited by 52,096
- 2020Knowledge Distillation: A Surveycited by 1,603
- 20213D Object Detection for Autonomous Driving: A Surveycited by 106
- 2021Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformercited by 14
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1.
2 papers.