Finger Vein Recognition Based on ResNet With Self-Attention

Finger Vein Recognition Based on ResNet With Self-Attention

To solve the problem of low accuracy and high computational resource consumption in finger vein recognition, a finger vein recognition model based on ResNet with self-attention (FV-RSA) is proposed. This model combines global focusing ability of self-attention mechanism and local feature extraction...

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Bibliographic Details
Main Authors: Zhibo Zhang, Guanghua Chen, Weifeng Zhang, Huiyang Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Finger vein recognition
deep learning
ResNet
self-attention
variable learning rate
Online Access:https://ieeexplore.ieee.org/document/10375376/

Internet

https://ieeexplore.ieee.org/document/10375376/

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