Printed Arabic Text Recognition Algorithms.
Salem Mohamed, M., Abd El-Gwad, A., Abou-Chadi, F., Keshk, M. (2021). Printed Arabic Text Recognition Algorithms.. EKB Journal Management System, 15(2), 154-162. doi: 10.21608/bfemu.2021.171297
Mofreh Mohamed Salem Mohamed; Aida O. Abd El-Gwad; Fatma El-Zahraa Abou-Chadi; Mohamed Y. Keshk. "Printed Arabic Text Recognition Algorithms.". EKB Journal Management System, 15, 2, 2021, 154-162. doi: 10.21608/bfemu.2021.171297
Salem Mohamed, M., Abd El-Gwad, A., Abou-Chadi, F., Keshk, M. (2021). 'Printed Arabic Text Recognition Algorithms.', EKB Journal Management System, 15(2), pp. 154-162. doi: 10.21608/bfemu.2021.171297
Salem Mohamed, M., Abd El-Gwad, A., Abou-Chadi, F., Keshk, M. Printed Arabic Text Recognition Algorithms.. EKB Journal Management System, 2021; 15(2): 154-162. doi: 10.21608/bfemu.2021.171297

Printed Arabic Text Recognition Algorithms.

MEJ- Mansoura Engineering Journal
Article 17, Volume 15, Issue 2, December 1990, Page 154-162  XML PDF (115.29 K)
Document Type: Research Studies
DOI: 10.21608/bfemu.2021.171297
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Authors
Mofreh Mohamed Salem Mohamed* 1; Aida O. Abd El-Gwad2; Fatma El-Zahraa Abou-Chadi3; Mohamed Y. Keshk2
1Associate Professor of Computers and Control Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
2Computers and Control Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
3Electronics and Communications Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
Abstract
This paper presents three efficient and reliable algorithms for the automatic recognition of printed Arabic text. The first algorithm is based on mathematical features, the second uses structural and mathematical features, while the third uses structural features. The performance of each algorithm is experimentally tested under different conditions. Comparisons between the results are also made. 
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