Arabic words recognition technique for pattern matching using SIFT, SURF and ORB

Image matching technique requires a robust and fast technique to be applicable in various application. This paper investigates which recognition technique suits better in matching an image of printed Arabic text. The recognition algorithm involves the conventional Scale-Invariant Feature Transfo...

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Main Authors:	Mohd Zailani, Syarah Munirah, Morshidi, Malik Arman, Mohd Esa, Luqman Naim
Format:	Article
Language:	English
Published:	Universiti Teknikal Malaysia Melaka 2017
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://irep.iium.edu.my/60355/ http://irep.iium.edu.my/60355/1/1570378451.pdf

id	iium-60355
recordtype	eprints
spelling	iium-603552018-05-18T01:11:12Z http://irep.iium.edu.my/60355/ Arabic words recognition technique for pattern matching using SIFT, SURF and ORB Mohd Zailani, Syarah Munirah Morshidi, Malik Arman Mohd Esa, Luqman Naim QA75 Electronic computers. Computer science QA76 Computer software Image matching technique requires a robust and fast technique to be applicable in various application. This paper investigates which recognition technique suits better in matching an image of printed Arabic text. The recognition algorithm involves the conventional Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF) and Oriented FAST and Rotated BRIEF (ORB). A parameters estimator of models algorithm is used to weed out the outlier point of matching images. The test demonstrates on the Arabic word images with the different angles, scales, and viewpoints. We evaluate the performance through analyzing the matching accuracy rate and computational time Universiti Teknikal Malaysia Melaka 2017-08-15 Article PeerReviewed application/pdf en http://irep.iium.edu.my/60355/1/1570378451.pdf Mohd Zailani, Syarah Munirah and Morshidi, Malik Arman and Mohd Esa, Luqman Naim (2017) Arabic words recognition technique for pattern matching using SIFT, SURF and ORB. Journal of Telecommunication, Electronic and Computer Engineering. ISSN 2180-1843 E-ISSN 2289-8131 (In Press)
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science QA76 Computer software
spellingShingle	QA75 Electronic computers. Computer science QA76 Computer software Mohd Zailani, Syarah Munirah Morshidi, Malik Arman Mohd Esa, Luqman Naim Arabic words recognition technique for pattern matching using SIFT, SURF and ORB
description	Image matching technique requires a robust and fast technique to be applicable in various application. This paper investigates which recognition technique suits better in matching an image of printed Arabic text. The recognition algorithm involves the conventional Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF) and Oriented FAST and Rotated BRIEF (ORB). A parameters estimator of models algorithm is used to weed out the outlier point of matching images. The test demonstrates on the Arabic word images with the different angles, scales, and viewpoints. We evaluate the performance through analyzing the matching accuracy rate and computational time
format	Article
author	Mohd Zailani, Syarah Munirah Morshidi, Malik Arman Mohd Esa, Luqman Naim
author_facet	Mohd Zailani, Syarah Munirah Morshidi, Malik Arman Mohd Esa, Luqman Naim
author_sort	Mohd Zailani, Syarah Munirah
title	Arabic words recognition technique for pattern matching using SIFT, SURF and ORB
title_short	Arabic words recognition technique for pattern matching using SIFT, SURF and ORB
title_full	Arabic words recognition technique for pattern matching using SIFT, SURF and ORB
title_fullStr	Arabic words recognition technique for pattern matching using SIFT, SURF and ORB
title_full_unstemmed	Arabic words recognition technique for pattern matching using SIFT, SURF and ORB
title_sort	arabic words recognition technique for pattern matching using sift, surf and orb
publisher	Universiti Teknikal Malaysia Melaka
publishDate	2017
url	http://irep.iium.edu.my/60355/ http://irep.iium.edu.my/60355/1/1570378451.pdf
first_indexed	2023-09-18T21:25:33Z
last_indexed	2023-09-18T21:25:33Z
_version_	1777412167340916736

Arabic words recognition technique for pattern matching using SIFT, SURF and ORB

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