Improved Unsupervised Deep Boltzmann Learning Approach for Accurate Hand Vein Recognition-Reference-Cited by-同舟云学术

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Improved Unsupervised Deep Boltzmann Learning Approach for Accurate Hand Vein Recognition

Published:2024 Issue: Volume:12 Page:18488-18507
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nour Rana¹,Moustafa Hossam El-Din²^ORCID,Abdelhay Ehab H.²^ORCID,Ata Mohamed Maher³^ORCID

Affiliation:

1. Department of Electronics and Communications Engineering, Mansoura Higher Institute for Engineering and Technology, Mansoura, Egypt

2. Department of Communications and Electronics Engineering, Faculty of Engineering, Mansoura University, Mansoura, Egypt

3. School of Computational Sciences and Artificial Intelligence (CSAI), Zewail City of Science and Technology, 6th of October City, Giza, Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10413462.pdf?arnumber=10413462

Reference40 articles.

1. Interval Type-2 Fuzzy Restricted Boltzmann Machine

2. GeCo: Classification Restricted Boltzmann Machine Hardware for On-Chip Semisupervised Learning and Bayesian Inference

3. Dorsal Hand Vein Recognition Using Very Deep Learning

4. Human Identity Verification From Biometric Dorsal Hand Vein Images Using the DL-GAN Method

5. Vein-based Biometric Verification using Transfer Learning

Cited by 2 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. A Demand‐Side Resource Selection Method for Feature Aggregation Based on Load Mapping;IEEJ Transactions on Electrical and Electronic Engineering;2024-06-18

2. Deep Learning Based Hand Wrist Crease Object Detection Models: An In-Depth Analysis;IEEE Access;2024

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