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

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)

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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

Item Type: Article (Journal)
Additional Information: 4576/60355
Uncontrolled Keywords: Arabic word; LMeds; MSAC; ORB; Pattern matching; RANSAC; SIFT; SURF.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr Malik Arman Morshidi
Date Deposited: 25 Dec 2017 10:11
Last Modified: 18 May 2018 09:11
URI: http://irep.iium.edu.my/id/eprint/60355

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