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291928

Fast Technique to Recognize Closed Characters in Arabic Handwriting

Article

Last updated: 28 Dec 2024

Subjects

-

Tags

Computer Engineering

Abstract

 Considering the distinctive features and characteristics of Arabic scripts,
recognizing handwritten Arabic characters is still widely open as a major
experimental task, which is not easy to overcome. This study attempts to develop
a fast and effective technique for recognizing this difficult type of written script
by using an iterative algorithm to extract closed Arabic characters. Some Arabic
characters have circles that may be blurred, incomplete, unformed, or distorted. In
addition to ligatures with different shapes, the technique is based on the
development of a proper Circular Hough Transform. This study used IFN/ENIT,
which is a standard database for extracting closed Arabic characters as designed
in classes. The first class is closed blurred circles ( .)ق, م , ع ,وThe second class is
unformed circles ( .)ق, ع , ةThe third one is incomplete circles (ط , ظ, ص, ض
, .)ه,ةFinally, the fourth class is distorted circles ( .) ط, ظThis methodology
achieved an outstanding accuracy of approximately 96.67%, a very interesting
work for the total four classes related to the 11 closed Arabic characters (out of
the 28 characters of the Arabic alphabet)..

DOI

10.21608/msaeng.2023.291928

Keywords

Arabic closed characters, Circular Hough Transform, Handwritten recognition

Authors

First Name

shimaa

Last Name

Kandeel

MiddleName

Hany

Affiliation

Faculty of electronic Engineering

Email

maamohamed@msa.edu.eg

City

-

Orcid

-

Volume

2

Article Issue

2

Related Issue

40382

Issue Date

2023-03-01

Receive Date

2023-03-23

Publish Date

2023-03-01

Page Start

1,048

Page End

1,061

Print ISSN

2812-5339

Online ISSN

2812-4928

Link

https://msaeng.journals.ekb.eg/article_291928.html

Detail API

https://msaeng.journals.ekb.eg/service?article_code=291928

Order

291,928

Type

Original Article

Type Code

2,183

Publication Type

Journal

Publication Title

MSA Engineering Journal

Publication Link

https://msaeng.journals.ekb.eg/

MainTitle

Fast Technique to Recognize Closed Characters in Arabic Handwriting

Details

Type

Article

Created At

28 Dec 2024