Research on Finger-vein Recognition Based on Deep Graph Convolutional Network with Dual-Branch

This study presents a finger-vein recognition method based on a Graph Convolutional Neural Network (GCNN) to overcome the low recognition rates and high computational cost of traditional methods. The study aims to address issues of graph structure instability and degraded matching efficiency in curr...

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Bibliographic Details

Main Author:	CHENG Junjun, WANG Mingwen
Format:	Artigo
Language:	Inglês
Published:	Editorial Office of Computer Engineering 2026-03-01
Series:	Jisuanji gongcheng
Subjects:	finger-vein recognition|image segmentation algorithm|graph convolutional neural network (gcnn)|cross-entropy function|channel information interaction
Online Access:	https://www.ecice06.com/fileup/1000-3428/PDF/70022.pdf
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