Recognition techniques for online Arabic handwriting recognition systems

Online recognition of Arabic handwritten text has been an on-going research problem for many years. Generally, online text recognition field has been gaining more interest lately due to the increasing popularity of hand-held computers, digital notebooks and advanced cellular phones. However, diffe...

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Main Authors:	Abuzaraida, Mustafa Ali, Zeki, Akram M., Zeki, Ahmed M.
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/30803/ http://irep.iium.edu.my/30803/ http://irep.iium.edu.my/30803/ http://irep.iium.edu.my/30803/1/06516409.pdf

id	iium-30803
recordtype	eprints
spelling	iium-308032014-12-08T07:36:16Z http://irep.iium.edu.my/30803/ Recognition techniques for online Arabic handwriting recognition systems Abuzaraida, Mustafa Ali Zeki, Akram M. Zeki, Ahmed M. T Technology (General) Online recognition of Arabic handwritten text has been an on-going research problem for many years. Generally, online text recognition field has been gaining more interest lately due to the increasing popularity of hand-held computers, digital notebooks and advanced cellular phones. However, different techniques have been used to build several online handwritten recognition systems for Arabic text, such as Neural Networks, Hidden Markov Model, Template Matching and others. Most of the researches on online text recognition have divided the recognition system into these three main phases which are preprocessing phase, feature extraction phase and recognition phase which considers as the most important phase and the heart of the whole system. This paper presents and compares techniques that have been used to recognize the Arabic handwriting scripts in online recognition systems. Those techniques attempt to recognize Arabic handwritten words, characters, digits or strokes. The structure and strategy of those reviewed techniques are explained in this article. The strengths and weaknesses of using these techniques will also be discussed. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/30803/1/06516409.pdf Abuzaraida, Mustafa Ali and Zeki, Akram M. and Zeki, Ahmed M. (2012) Recognition techniques for online Arabic handwriting recognition systems. In: International Conference on Advanced Computer Science Applications and Technologies (ACSAT2012), 26-28 November 2012, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/ACSAT.2012.14 doi:10.1109/ACSAT.2012.14
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Abuzaraida, Mustafa Ali Zeki, Akram M. Zeki, Ahmed M. Recognition techniques for online Arabic handwriting recognition systems
description	Online recognition of Arabic handwritten text has been an on-going research problem for many years. Generally, online text recognition field has been gaining more interest lately due to the increasing popularity of hand-held computers, digital notebooks and advanced cellular phones. However, different techniques have been used to build several online handwritten recognition systems for Arabic text, such as Neural Networks, Hidden Markov Model, Template Matching and others. Most of the researches on online text recognition have divided the recognition system into these three main phases which are preprocessing phase, feature extraction phase and recognition phase which considers as the most important phase and the heart of the whole system. This paper presents and compares techniques that have been used to recognize the Arabic handwriting scripts in online recognition systems. Those techniques attempt to recognize Arabic handwritten words, characters, digits or strokes. The structure and strategy of those reviewed techniques are explained in this article. The strengths and weaknesses of using these techniques will also be discussed.
format	Conference or Workshop Item
author	Abuzaraida, Mustafa Ali Zeki, Akram M. Zeki, Ahmed M.
author_facet	Abuzaraida, Mustafa Ali Zeki, Akram M. Zeki, Ahmed M.
author_sort	Abuzaraida, Mustafa Ali
title	Recognition techniques for online Arabic handwriting recognition systems
title_short	Recognition techniques for online Arabic handwriting recognition systems
title_full	Recognition techniques for online Arabic handwriting recognition systems
title_fullStr	Recognition techniques for online Arabic handwriting recognition systems
title_full_unstemmed	Recognition techniques for online Arabic handwriting recognition systems
title_sort	recognition techniques for online arabic handwriting recognition systems
publishDate	2012
url	http://irep.iium.edu.my/30803/ http://irep.iium.edu.my/30803/ http://irep.iium.edu.my/30803/ http://irep.iium.edu.my/30803/1/06516409.pdf
first_indexed	2023-09-18T20:45:02Z
last_indexed	2023-09-18T20:45:02Z
_version_	1777409617646583808

Recognition techniques for online Arabic handwriting recognition systems

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