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Feature extraction techniques of online handwriting arabic text recognition

Online recognition of Arabic handwritten text has been an ongoing 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. Most of the onli...

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Main Authors:	Abuzaraida, Mustafa Ali, Zeki, Akram M., Zeki, Ahmed M.
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/30819/1/06518884.pdf http://irep.iium.edu.my/30819/ http://dx.doi.org/10.1109/ICT4M.2013.6518884
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id	my.iium.irep.30819
record_format	dspace
spelling	my.iium.irep.308192014-12-08T03:44:28Z http://irep.iium.edu.my/30819/ Feature extraction techniques of online handwriting arabic text recognition Abuzaraida, Mustafa Ali Zeki, Akram M. Zeki, Ahmed M. T Technology (General) Online recognition of Arabic handwritten text has been an ongoing 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. Most of the online text recognition systems consist of three main phases which are preprocessing, feature extraction, and recognition phase. This paper compares between different techniques that have been used to extract the features of Arabic handwriting scripts in online recognition systems. Those techniques attempt to extract the feature vector of Arabic handwritten words, characters, numbers or strokes. This vector then will be fed into the recognition engine to recognize the pattern using the feature vector. 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. 2013 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/30819/1/06518884.pdf Abuzaraida, Mustafa Ali and Zeki, Akram M. and Zeki, Ahmed M. (2013) Feature extraction techniques of online handwriting arabic text recognition. In: 5th International Conference on Information and Communication Technology for the Muslim World, 26-28 March 2013, Rabat, Morocco. http://dx.doi.org/10.1109/ICT4M.2013.6518884 doi:10.1109/ICT4M.2013.6518884
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Abuzaraida, Mustafa Ali Zeki, Akram M. Zeki, Ahmed M. Feature extraction techniques of online handwriting arabic text recognition
description	Online recognition of Arabic handwritten text has been an ongoing 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. Most of the online text recognition systems consist of three main phases which are preprocessing, feature extraction, and recognition phase. This paper compares between different techniques that have been used to extract the features of Arabic handwriting scripts in online recognition systems. Those techniques attempt to extract the feature vector of Arabic handwritten words, characters, numbers or strokes. This vector then will be fed into the recognition engine to recognize the pattern using the feature vector. 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	Feature extraction techniques of online handwriting arabic text recognition
title_short	Feature extraction techniques of online handwriting arabic text recognition
title_full	Feature extraction techniques of online handwriting arabic text recognition
title_fullStr	Feature extraction techniques of online handwriting arabic text recognition
title_full_unstemmed	Feature extraction techniques of online handwriting arabic text recognition
title_sort	feature extraction techniques of online handwriting arabic text recognition
publishDate	2013
url	http://irep.iium.edu.my/30819/1/06518884.pdf http://irep.iium.edu.my/30819/ http://dx.doi.org/10.1109/ICT4M.2013.6518884
_version_	1643609942316285952
score	13.211869

Feature extraction techniques of online handwriting arabic text recognition

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