论文标题
手指静脉识别的深度学习：对最近趋势的简要调查
Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend
论文作者
论文摘要
Finger静脉图像识别技术在生物识别识别中起着重要作用，并已成功应用于许多领域。由于静脉被埋在皮肤组织下方，因此手指静脉图像识别具有无与伦比的优势，因此不容易受到外部因素的干扰。这篇综述总结了2017年至2021年有关手指静脉图像识别深度学习的46篇论文。根据深神经网络的任务对这些论文进行了总结。此外，我们提出了手指静脉图像识别的挑战和潜在发展方向。
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.
