End-to-End Machine Learning Solution for Recognizing Handwritten Arabic Documents
Author:
Affiliation:
1. The University of Jordan,Computer Engineering Department,Amman,Jordan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9810981/9811103/09811155.pdf?arnumber=9811155
Reference12 articles.
1. Line and word segmentation of Arabic handwritten documents using neural networks;belabiod;LORIA - Université de Lorraine,2018
2. A systematic review of text classification research based on deep learning models in Arabic language
3. NIST 2013 Open Handwriting Recognition and Translation (Open HaRT'13) Evaluation
4. Handwriting Recognition of Historical Documents with Few Labeled Data
5. Combining Convolutional Neural Networks and LSTMs for Segmentation-Free OCR
Cited by 1 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. Analysis of Recent Deep Learning Techniques for Arabic Handwritten-Text OCR and Post-OCR Correction;Applied Sciences;2023-06-27
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