Printed Arabic Text Recognition Algorithms.

Authors

Mofreh Salem Mohamed, Associate Professor of Computers and Control Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
Aida Abd El-Gwad, Computers and Control Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
Fatma El-Zahraa Abou-Chadi, Electronics and Communications Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
Mohamed Keshk, Computers and Control Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.

Corresponding Author

Salem Mohamed, Mofreh

Subject Area

Computer and Control Systems Engineering

Article Type

Original Study

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.

Recommended Citation

Salem Mohamed, Mofreh; Abd El-Gwad, Aida; Abou-Chadi, Fatma El-Zahraa; and Keshk, Mohamed (2021) "Printed Arabic Text Recognition Algorithms.," Mansoura Engineering Journal: Vol. 15 : Iss. 2 , Article 17.
Available at: https://doi.org/10.21608/bfemu.2021.171297