Lite-HDNet: A Lightweight Domain-Adaptive Segmentation Framework for Improved Finger Vein Pattern Extraction

Lite-HDNet: A Lightweight Domain-Adaptive Segmentation Framework for Improved Finger Vein Pattern Extraction

Recent times have witnessed significant progress in deep learning-based finger vein pattern extraction methods, but two unavoidable issues still remain to be addressed. One is that the model trained on a single finger vein dataset shows poor generalizability, and the model performance is limited by...

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Bibliographic Details
Main Authors: Yingxin Li, Yucong Chen, Junying Zeng, Chuanbo Qin, Wenguang Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Image segmentation
domain adaptation
finger vein extraction
knowledge transfer
Online Access:https://ieeexplore.ieee.org/document/10479502/

Internet

https://ieeexplore.ieee.org/document/10479502/

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