Unsupervised Block Covering Analysis for Text-Line Segmentation of Arabic Ancient Handwritten Document Images-Reference-Cited by-同舟云学术

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Unsupervised Block Covering Analysis for Text-Line Segmentation of Arabic Ancient Handwritten Document Images

Published:2010-08 Issue: Volume: Page:
ISSN:
Container-title:2010 20th International Conference on Pattern Recognition
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Author:

Boussellaa Wafa,Zahour Abderrazak,Elabed Haikal,Benabdelhafid Abdellatif,Alimi Adel M.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5595335/5595735/05597247.pdf?arnumber=5597247

Cited by 14 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 Survey on Text-Line Segmentation in Arab Historical Manuscripts;International Journal of Informatics and Applied Mathematics;2024-06-13

2. Digitizing History: Transitioning Historical Paper Documents to Digital Content for Information Retrieval and Mining—A Comprehensive Survey;IEEE Transactions on Computational Social Systems;2024

3. Script independent text segmentation of document images using graph network based shortest path scheme;International Journal of Information Technology;2023-03-25

4. Automatic Estimation of Age Distributions from the First Ottoman Empire Population Register Series by Using Deep Learning;Electronics;2021-09-13

5. Line Segmentation of Individual Demographic Data from Arabic Handwritten Population Registers of Ottoman Empire;Document Analysis and Recognition – ICDAR 2021 Workshops;2021

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