• Mi Re-Unir
    Búsqueda Avanzada
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    Ver ítem 
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2017
    • vol. 4, nº 6, december 2017
    • Ver ítem
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2017
    • vol. 4, nº 6, december 2017
    • Ver ítem

    Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform

    Autor: 
    Boulid, Youssef
    ;
    Souhar, Abdelghani
    ;
    Ouagague, Mly.
    ;
    Ameur, E
    Fecha: 
    12/2017
    Palabra clave: 
    Arabic documents; handwritten character recognition; text mining; text line segmentation; connected component analysis; projection profile; watershed transform; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/11835
    DOI: 
    http://doi.org/10.9781/ijimai.2017.08.002
    Dirección web: 
    https://ijimai.org/journal/bibcite/reference/2633
    Open Access
    Resumen:
    A crucial task in character recognition systems is the segmentation of the document into text lines and especially if it is handwritten. When dealing with non-Latin document such as Arabic, the challenge becomes greater since in addition to the variability of writing, the presence of diacritical points and the high number of ascender and descender characters complicates more the process of the segmentation. To remedy with this complexity and even to make this difficulty an advantage since the focus is on the Arabic language which is semi-cursive in nature, a method based on the Watershed Transform technique is proposed. Tested on «Handwritten Arabic Proximity Datasets» a segmentation rate of 93% for a 95% of matching score is achieved.
    Mostrar el registro completo del ítem
    Ficheros en el ítem
    icon
    Nombre: ijimai20174_6_13_pdf_11239.pdf
    Tamaño: 1.290Mb
    Formato: application/pdf
    Ver/Abrir
    Este ítem aparece en la(s) siguiente(s) colección(es)
    • vol. 4, nº 6, december 2017

    Estadísticas de uso

    Año
    2012
    2013
    2014
    2015
    2016
    2017
    2018
    2019
    2020
    2021
    2022
    Vistas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    15
    19
    Descargas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    21
    32

    Ítems relacionados

    Mostrando ítems relacionados por Título, autor o materia.

    • Detection of Text Lines of Handwritten Arabic Manuscripts using Markov Decision Processes 

      Boulid, Youssef; Souhar, Abdelghani; Elyoussfi Elkettani, Mohamed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2016)
      In a character recognition systems, the segmentation phase is critical since the accuracy of the recognition depend strongly on it. In this paper we present an approach based on Markov Decision Processes to extract text ...
    • Handwritten Character Recognition Based on the Specificity and the Singularity of the Arabic Language 

      Boulid, Youssef; Souhar, Abdelghani; Elyoussfi Elkettani, Mohamed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2017)
      A good Arabic handwritten recognition system must consider the characteristics of Arabic letters which can be explicit such as the presence of diacritics or implicit such as the baseline information (a virtual line on which ...
    • Multi-agent Systems for Arabic Handwriting Recognition 

      Boulid, Youssef; Souhar, Abdelghani; Elyoussfi Elkettani, Mohamed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      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 ...

    Mi cuenta

    AccederRegistrar

    ¿necesitas ayuda?

    Manual de UsuarioAutorización TFG-M

    Listar

    todo Re-UnirComunidades y coleccionesPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de accesoEsta colecciónPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de acceso






    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja
     
    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja