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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2019
    • vol. 5, nº 5, june 2019
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2019
    • vol. 5, nº 5, june 2019
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    Handwritten Arabic Documents Segmentation into Text Lines using Seam Carving

    Autor: 
    Souhar, Abdelghani
    ;
    Daldali, M
    Fecha: 
    06/2019
    Palabra clave: 
    arabic documents; handwritten character recognition; text line segmentation; projection profile; seam carving; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/12500
    DOI: 
    http://doi.org/10.9781/ijimai.2018.06.002
    Dirección web: 
    https://www.ijimai.org/journal/bibcite/reference/2677
    Open Access
    Resumen:
    Inspired from human perception and common text documents characteristics based on readability constraints, an Arabic text line segmentation approach is proposed using seam carving. Taking the gray scale of the image as input data, this technique offers better results at extracting handwritten text lines without the need for the binary representation of the document image. In addition to its fast processing time, its versatility permits to process a multitude of document types, especially documents presenting low text-to-background contrast such as degraded historical manuscripts or complex writing styles like cursive handwriting. Even if our focus in this paper was on Arabic text segmentation, this method is language independent. Tests on a public database of 123 handwritten Arabic documents showed a line detection rate of 97.5% for a matching score of 90%.
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    • vol. 5, nº 5, june 2019

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