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 onlin...

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Main Authors:	Abuzaraida, Mustafa Ali, Zeki, Akram M., Zeki, Ahmed M.
Format:	Conference or Workshop Item
Language:	English English
Published:	2013
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T58.5 Information technology
Online Access:	http://irep.iium.edu.my/30997/ http://irep.iium.edu.my/30997/ http://irep.iium.edu.my/30997/1/Table_of_Content.pdf http://irep.iium.edu.my/30997/2/Feature_Extraction_Techniques_of_Online_Handwriting_Arabic_Text_Recognition1.pdf

id	iium-30997
recordtype	eprints
spelling	iium-309972014-12-08T03:46:08Z http://irep.iium.edu.my/30997/ Feature extraction techniques of online handwriting arabic text recognition Abuzaraida, Mustafa Ali Zeki, Akram M. Zeki, Ahmed M. QA75 Electronic computers. Computer science QA76 Computer software T58.5 Information technology 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 PeerReviewed application/pdf en http://irep.iium.edu.my/30997/1/Table_of_Content.pdf application/pdf en http://irep.iium.edu.my/30997/2/Feature_Extraction_Techniques_of_Online_Handwriting_Arabic_Text_Recognition1.pdf Abuzaraida, Mustafa Ali and Zeki, Akram M. and Zeki, Ahmed M. (2013) Feature extraction techniques of online handwriting arabic text recognition. In: The 4th International Conference on Information & Communication Technology for the Muslim World (ICT4M), 25-27 Mar 2013, Rabat, Moroco. http://ict4m.org/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science QA76 Computer software T58.5 Information technology
spellingShingle	QA75 Electronic computers. Computer science QA76 Computer software T58.5 Information technology 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/30997/ http://irep.iium.edu.my/30997/ http://irep.iium.edu.my/30997/1/Table_of_Content.pdf http://irep.iium.edu.my/30997/2/Feature_Extraction_Techniques_of_Online_Handwriting_Arabic_Text_Recognition1.pdf
first_indexed	2023-09-18T20:45:14Z
last_indexed	2023-09-18T20:45:14Z
_version_	1777409630673043456

Feature extraction techniques of online handwriting arabic text recognition

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