Finger Vein Verification Algorithm Based on Fully Convolutional Neural Network and Conditional Random Field

Author:

Zeng JunyingORCID,Wang FanORCID,Deng JianxiangORCID,Qin ChuanboORCID,Zhai YikuiORCID,Gan JunyingORCID,Piuri VincenzoORCID

Funder

National Natural Science Foundation

Guangdong Basic and Applied Basic Research Foundation

Basic Research and Applied Basic Research Key Project in General Colleges and Universities of Guangdong Province

Open Fund of Guangdong Key Laboratory of Digital Signal and Image Processing Technology

Characteristic Innovation Project of Guangdong Province

Young Innovation Talents Project of Guangdong Province

Special Project in key Areas of Artificial Intelligence in Guangdong Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Zero-FVeinNet: Optimizing Finger Vein Recognition with Shallow CNNs and Zero-Shuffle Attention for Low-Computational Devices;Electronics;2024-05-01

2. Hand -Based Multimodal Biometric Authentication System;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

3. Fingervein Verification using Convolutional Multi-Head Attention Network;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

4. Lite-HDNet: A Lightweight Domain-Adaptive Segmentation Framework for Improved Finger Vein Pattern Extraction;IEEE Access;2024

5. Improved Unsupervised Deep Boltzmann Learning Approach for Accurate Hand Vein Recognition;IEEE Access;2024

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