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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2017
    • vol. 4, nº 6, december 2017
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2017
    • vol. 4, nº 6, december 2017
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    Multi-agent Systems for Arabic Handwriting Recognition

    Autor: 
    Boulid, Youssef
    ;
    Souhar, Abdelghani
    ;
    Elyoussfi Elkettani, Mohamed
    Fecha: 
    12/2017
    Palabra clave: 
    image processing; segmentation; artificial intelligence; multi-Agent systems; recognition; feature extraction; arabic documents; handwritten character recognition; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/11822
    DOI: 
    http://doi.org/10.9781/ijimai.2017.03.012
    Dirección web: 
    https://ijimai.org/journal/bibcite/reference/2624
    Open Access
    Resumen:
    This paper aims to give a presentation of the PhD defended by Boulid Youssef on December 26th, 2016 at University Ibn Tofail, entitled “Arabic handwritten recognition in an offline mode”. The adopted approach is realized under the multi agent paradigm. The dissertation was held in Faculty of Science Kénitra in a publicly open presentation. After the presentation, Boulid was awarded with the highest grade (Très honorable avec félicitations de jury).
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    • Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform 

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