DRL-FVRestore: An Adaptive Selection and Restoration Method for Finger Vein Images Based on Deep Reinforcement

DRL-FVRestore: An Adaptive Selection and Restoration Method for Finger Vein Images Based on Deep Reinforcement

Finger vein recognition has become a research hotspot in the field of biometrics due to its advantages of non-contact acquisition, unique information, and difficulty in terms of forging or pirating. However, in the real-world application process, the extraction of image features for the biometric re...

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Bibliographic Details
Main Authors: Ruoran Gao, Huimin Lu, Adil Al-Azzawi, Yupeng Li, Chengcheng Zhao
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
biometrics
finger vein recognition
image restoration
reinforcement learning
Online Access:https://www.mdpi.com/2076-3417/13/2/699

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