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24743

On Line Recognition System for Arabic Handwritten Text

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Last updated: 04 Jan 2025

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Abstract

This paper presents the design and the implementation of an On Line Arabic text Recognition system "OLAR" that is used for cursive handwritten recognition. In addition to Arabic characters, OLAR can recognize numerical characters, and special symbols. The direction and style of writing are used to compose the main components of the feature vector of the characters to be recognized. OLAR uses Euclidean distance approach and artificial neural networks for classification. The obtained results showed that OLAR can compete well with other handwriting recognition systems. The recognition rate ranges from 90% to 100%.

DOI

10.21608/asat.2013.24743

Keywords

Arabic Text Recognition, Artificial Neural Networks, Handwritten Text Recognition

Authors

First Name

M.

Last Name

Shaarawy

MiddleName

-

Affiliation

Egyptian Armed Forces.

Email

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City

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Orcid

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First Name

Aly

Last Name

Fahmy

MiddleName

-

Affiliation

Faculty of Infonnation & Computers, Cairo University, Egypt.

Email

-

City

-

Orcid

-

First Name

M.

Last Name

Fouad

MiddleName

M.

Affiliation

Egyptian Armed Forces.

Email

-

City

-

Orcid

-

Volume

10

Article Issue

10th International Conference On Aerospace Sciences & Aviation Technology

Related Issue

4497

Issue Date

2003-05-01

Receive Date

2019-01-15

Publish Date

2003-05-01

Page Start

1,147

Page End

1,158

Print ISSN

2090-0678

Online ISSN

2636-364X

Article File

ASAT_Volume 10_Issue 10th International Conference On Aerospace Sciences & A….pdf

PDF . 2.3MB

Link

https://asat.journals.ekb.eg/article_24743.html

Detail API

https://asat.journals.ekb.eg/service?article_code=24743

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81

Type

Original Article

Type Code

737

Publication Type

Journal

Publication Title

International Conference on Aerospace Sciences and Aviation Technology

Publication Link

https://asat.journals.ekb.eg/

MainTitle

On Line Recognition System for Arabic Handwritten Text

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Article

Created At

22 Jan 2023