arXiv:2207.02148
Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend
원문 초록
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.
함께 살펴볼 논문
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Motion Transfer-Driven intra-class data augmentation for Finger Vein Recognition
FV-UPatches: Enhancing Universality in Finger Vein Recognition
CFVNet: An End-to-End Cancelable Finger Vein Network for Recognition
PAFedFV: Personalized and Asynchronous Federated Learning for Finger Vein Recognition
$\textit{sweet}$- An Open Source Modular Platform for Contactless Hand Vascular Biometric Experiments
3D printed realistic finger vein phantoms
토론
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