Review of Research on Feature Extraction Algorithms for Finger Vein Images

With the development of social informatization, biometric identification has become the key technology of modern information security. Finger vein recognition has become a hot spot of current research due to its advantages such as high security and living body recognition. Finger vein feature extraction is the key link in the finger vein recognition process, which is crucial to the overall performance of the recognition system. This paper firstly introduces the finger vein recognition system and organizes and summarizes the public datasets; then, with deep learning as the boundary, it classifies and researches the applications of vein feature extraction in recent years, and combs and analyzes the feature extraction algorithms that are the focus of each category; secondly, it summarizes the evaluation indexes in the field of finger vein recognition; and finally, it sums up the status quo of the finger vein feature extraction and the challenges it faces.