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Recognition of Amazigh Characters using Visual Rotation Invariant Features

by Younes Raoui, El Houssine Bouyakhf
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 20
Year of Publication: 2013
Authors: Younes Raoui, El Houssine Bouyakhf
10.5120/11692-3395

Younes Raoui, El Houssine Bouyakhf . Recognition of Amazigh Characters using Visual Rotation Invariant Features. International Journal of Computer Applications. 68, 20 ( April 2013), 1-5. DOI=10.5120/11692-3395

@article{ 10.5120/11692-3395,
author = { Younes Raoui, El Houssine Bouyakhf },
title = { Recognition of Amazigh Characters using Visual Rotation Invariant Features },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 20 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number20/11692-3395/ },
doi = { 10.5120/11692-3395 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:28:21.688977+05:30
%A Younes Raoui
%A El Houssine Bouyakhf
%T Recognition of Amazigh Characters using Visual Rotation Invariant Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 20
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we present a new method for Amazigh Character Recognition. It is based on the extraction of salient points from the Tifinagh characters using a visual detector and descriptor. The novelty of this work is, first, the development of a new detector descriptor having a high repeatability which outperforms other transforms like (SIFT, SURF, Harris), second, its application for the recognition of the Amazigh characters. Our method is called Rotation Invariant Detector (RID). We use steerable filters for representing the image in many scales and orientations, then, the Harris detector applied to each of the obtained images, because of its high speed in the detection operation. In order to recognize a character, we match our image test to the database of learnt characters. We present in this work two applications based on RID: - The visual recognition of handwritten Tifinagh Characters using the paradigm (learning-classification) The conversion of a handwritten character to a typed character with a computer

References
  1. Y. Es Saady. , A. Rachidi A. , M. El Yassa, D. Mammass 2011. AMHCD: A Database for Amazigh Handwritten Character Recognition Research International Journal of Computer Applications (0975 –8887) Volume 27– No. 4.
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  3. Y. Es Saady, A. Rachidi, M. El Yassa, D. Mammass, 2011, "Reconnaissance Automatique de l'Ecriture Amazighe à base de Ligne Centrale de l'Écriture", 4ème Atelier international sur l'amazighe et les TIC, IRCAM, Maroc.
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Index Terms

Computer Science
Information Sciences

Keywords

Recognition Amazigh

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