Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend
It provides a review for researchers in biometrics, but is incremental as it summarizes existing work without new results.
This survey summarizes 46 papers from 2017 to 2021 on deep learning for finger vein recognition, highlighting its advantages in biometrics due to resistance to external factors, and discusses challenges and future directions.
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.