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Reseach Article

Tifinagh Character Recognition using Harris Corner Detector and Graph Representation

by Youssef Ouadid, Mehdi Boutaounte, Mohamed Fakir, Brahim Minaoui
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 149 - Number 3
Year of Publication: 2016
Authors: Youssef Ouadid, Mehdi Boutaounte, Mohamed Fakir, Brahim Minaoui
10.5120/ijca2016911366

Youssef Ouadid, Mehdi Boutaounte, Mohamed Fakir, Brahim Minaoui . Tifinagh Character Recognition using Harris Corner Detector and Graph Representation. International Journal of Computer Applications. 149, 3 ( Sep 2016), 17-23. DOI=10.5120/ijca2016911366

@article{ 10.5120/ijca2016911366,
author = { Youssef Ouadid, Mehdi Boutaounte, Mohamed Fakir, Brahim Minaoui },
title = { Tifinagh Character Recognition using Harris Corner Detector and Graph Representation },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 149 },
number = { 3 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 17-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume149/number3/25976-2016911366/ },
doi = { 10.5120/ijca2016911366 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:53:43.189209+05:30
%A Youssef Ouadid
%A Mehdi Boutaounte
%A Mohamed Fakir
%A Brahim Minaoui
%T Tifinagh Character Recognition using Harris Corner Detector and Graph Representation
%J International Journal of Computer Applications
%@ 0975-8887
%V 149
%N 3
%P 17-23
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this article, a printed Tifinagh character recognition system is presented. It is composed of three main steps: pre-processing, features extraction and classification. In the pre-processing step, binarization, normalization and thinning are applied to enhance the quality of the image. In the feature extraction step, corners are extracted using Harris Corner Detection method then represented by graph. In the classification step, graphs are compared using a graph matching method. Experimental results are obtained using IRCAM database to test the effectiveness. The system shows good results in terms of accuracy.

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Index Terms

Computer Science
Information Sciences

Keywords

Character Recognition Graph Matching Tifinagh Character Harris Method