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The Scientific World Journal
Volume 2015, Article ID 323575, 18 pages
Research Article

ASM Based Synthesis of Handwritten Arabic Text Pages

1Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, 39016 Magdeburg, Germany
2Umm Al-Qura University, Makkah 21421, Saudi Arabia
3Faculty of Computers and Information, Menoufia University MUFIC, Menofia 32721, Egypt
4Department of Software Engineering, College of Computer Science and Information Sciences, King Saud University, Riyadh 11451, Saudi Arabia
5Department of Computer Science, College of Science, Menoufia University, Menofia 32721, Egypt

Received 7 January 2015; Revised 28 April 2015; Accepted 29 April 2015

Academic Editor: Tongxing Li

Copyright © 2015 Laslo Dinges et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Laslo Dinges, Ayoub Al-Hamadi, Moftah Elzobi, and Sherif El-etriby, “Synthesis of Common Arabic Handwritings to Aid Optical Character Recognition Research,” Sensors, vol. 16, no. 3, pp. 346, 2016. View at Publisher · View at Google Scholar
  • Laslo Dinges, Ayoub Al-Hamadi, Moftah Elzobi, and Andreas Nurnberger, “Automatic recognition of common Arabic handwritten words based on OCR and N-GRAMS,” Proceedings - International Conference on Image Processing, ICIP, vol. 2017-, pp. 3625–3629, 2018. View at Publisher · View at Google Scholar