Handwriting Moroccan regions recognition using Tifinagh character
Identifieur interne : 000043 ( Main/Merge ); précédent : 000042; suivant : 000044Handwriting Moroccan regions recognition using Tifinagh character
Auteurs : B. El Kessab ; C. Daoui ; B. Bouikhalene ; R. SalouanSource :
- Data in Brief [ 2352-3409 ] ; 2015.
Abstract
The territorial organization of Morocco during administratives division of 2009 is based on 16 regions. In this work we will create a system of recognition of handwritten words (names of regions) using the Amazigh language is an official language by the Moroccan Royal Institute of Amazigh Culture (IRCAM) (2003a)
In this context we propose a data set for handwritten Tifinagh regions composed of 1600 image (100 Image for each region). The dataset can be used in one hand to test the efficiency of the Tifinagh region recognition system in extraction of characteristics significatives and the correct identification of each region in classification phase in the other hand.
Url:
DOI: 10.1016/j.dib.2015.07.018
PubMed: 26966718
PubMed Central: 4783523
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PMC:4783523Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>The territorial organization of Morocco during administratives division of 2009 is based on 16 regions. In this work we will create a system of recognition of handwritten words (names of regions) using the Amazigh language is an official language by the Moroccan Royal Institute of Amazigh Culture (IRCAM) (2003a) <xref rid="bib1" ref-type="bibr">[1]</xref>
such as this language is slightly treated by researchers in pattern recognition field that is why we decided to study this language (El Kessab et al., 2013 <xref rid="bib3" ref-type="bibr">[3]</xref>
; El Kessab et al., 2014 <xref rid="bib4" ref-type="bibr">[4]</xref>
) that knowing the state make a decision to computerize the various public sectors by this language.</p>
<p>In this context we propose a data set for handwritten Tifinagh regions composed of 1600 image (100 Image for each region). The dataset can be used in one hand to test the efficiency of the Tifinagh region recognition system in extraction of characteristics significatives and the correct identification of each region in classification phase in the other hand.</p>
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<author><name sortKey="Daoui, C" uniqKey="Daoui C">C. Daoui</name>
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<author><name sortKey="Bouikhalene, B" uniqKey="Bouikhalene B">B. Bouikhalene</name>
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<biblStruct><analytic><author><name sortKey="El Kessab, B" uniqKey="El Kessab B">B. El Kessab</name>
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<author><name sortKey="Daoui, C" uniqKey="Daoui C">C. Daoui</name>
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<author><name sortKey="Bouikhalene, B" uniqKey="Bouikhalene B">B. Bouikhalene</name>
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<author><name sortKey="Salouan, R" uniqKey="Salouan R">R. Salouan.</name>
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<biblStruct><analytic><author><name sortKey="Sadiqi, Fatima" uniqKey="Sadiqi F">Fatima Sadiqi</name>
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