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171297

Printed Arabic Text Recognition Algorithms.

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

Computer Engineering and Systems

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. 

DOI

10.21608/bfemu.2021.171297

Authors

First Name

Mofreh

Last Name

Salem Mohamed

MiddleName

Mohamed

Affiliation

Associate Professor of Computers and Control Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

Aida

Last Name

Abd El-Gwad

MiddleName

O.

Affiliation

Computers and Control Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

Fatma El-Zahraa

Last Name

Abou-Chadi

MiddleName

-

Affiliation

Electronics and Communications Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

Mohamed

Last Name

Keshk

MiddleName

Y.

Affiliation

Computers and Control Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.

Email

-

City

Mansoura

Orcid

-

Volume

15

Article Issue

2

Related Issue

24852

Issue Date

1990-12-01

Receive Date

1990-10-11

Publish Date

2021-05-22

Page Start

154

Page End

162

Print ISSN

1110-0923

Online ISSN

2735-4202

Link

https://bfemu.journals.ekb.eg/article_171297.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=171297

Order

17

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023