Baseline information has been used for diverse purposes in handwriting research. The baseline represents a first orientation in a word and it is often a precondition for subsequent algorithms, including preprocessing tasks, segmentation and feature extraction for recognition systems. Approaches based on the horizontal projection histogram are used for Arabic printed text but they are ill-suited for Arabic handwritten words. In this paper we present a method that is completely based on polygonally approximated skeleton processing. The central algorithm is concerned with finding features in the skeleton and processing linear regression analysis. Our method performs very well as long as the model assumption of one straight line applies. We tested the method on 26459 isolated Tunisian town names written by 411 writers (IFNIENIT-database).


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Baseline estimation for Arabic handwritten words


    Contributors:
    Pechwitz, M. (author) / Margner, V. (author)


    Publication date :

    2002-01-01


    Size :

    343556 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Baseline Estimation for Arabic Handwritten Words

    Pechwitz, M. / Margner, V. | British Library Conference Proceedings | 2002



    Combination of Local and Global Vision Modelling for Arabic Handwritten Words Recognition

    Maddouri, S. S. / Amiri, H. / Belaid, A. et al. | British Library Conference Proceedings | 2002


    Keywords image retrieval in historical handwritten Arabic documents

    Saabni, R. / El-Sana, J. | British Library Online Contents | 2013


    An Active Recognition of Handwritten Isolated Arabic Characters

    Iguider, Y. / Yasuhara, M. | British Library Online Contents | 1996