RECOGNITION OF ARABIC HANDWRITTEN CHARACTERS USING RESIDUAL NEURAL NETWORKS-Reference-Cited by-同舟云学术

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RECOGNITION OF ARABIC HANDWRITTEN CHARACTERS USING RESIDUAL NEURAL NETWORKS

Published:2021 Issue:0 Volume: Page:1
ISSN:2413-9351
Container-title:Jordanian Journal of Computers and Information Technology
language:
Short-container-title:JJCIT

Author:

Taani Ahmad^ORCID,Ahmad Sadeem

Publisher

ScopeMed

Subject

General Computer Science

Link

https://www.ejmanager.com/fulltextpdf.php?mno=62240

Cited by 4 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. Recognition of Indian Sign Languageusing SURF, BoW & CNN;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

2. CNN-based Methods for Offline Arabic Handwriting Recognition: A Review;Neural Processing Letters;2024-03-19

3. Intelligent Arabic Handwriting Recognition Using Different Standalone and Hybrid CNN Architectures;Applied Sciences;2022-10-10

4. UnCNN: A New Directed CNN Model for Isolated Arabic Handwritten Characters Recognition;Arabian Journal for Science and Engineering;2022-03-18

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