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    • Revista IJIMAI
    • 2016
    • vol. 4, nº 1, september 2016
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2016
    • vol. 4, nº 1, september 2016
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    Segmentation-free Word Spotting for Handwritten Arabic Documents

    Autor: 
    Khaissidi, Ghizlane
    ;
    Elfakir, Youssef
    ;
    Mrabti, Mostafa
    ;
    El Yacoubi, Mounîm
    ;
    Chenouni, Driss
    Fecha: 
    09/2016
    Palabra clave: 
    classification; image recognition; HOG; arabic documents; word spotting; IJIMAI
    Revista / editorial: 
    International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/11565
    DOI: 
    http://doi.org/10.9781/ijimai.2016.411
    Dirección web: 
    https://ijimai.org/journal/bibcite/reference/2519
    Open Access
    Resumen:
    In this paper we present an unsupervised segmentation-free method for spotting and searching query, especially, for images documents in handwritten Arabic, for this, Histograms of Oriented Gradients (HOGs) are used as the feature vectors to represent the query and documents image. Then, we compress the descriptors with the product quantization method. Finally, a better representation of the query is obtained by using the Support Vector Machines (SVM).
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    Nombre: ijimai20164_1_1_pdf_95245.pdf
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