The method herein proposed detects text lines on handwritten pages which may include either lines oriented in several directions, erasures, or annotations between main lines. The method has a hypothesis-validation strategy which is iteratively activated until the end of the segmentation is reached. At each stage of the process, the best text-line hypothesis is generated in the Hough domain. Taking into account the fluctuations of the text-line components. Afterwards, the validity of the line is checked in the image domain using a proximity criteria which analyses the context in which is perceived the alignment hypothesized. Ambiguous components belonging to several text lines are also marked.


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    Titel :

    A Hough based algorithm for extracting text lines in handwritten documents


    Beteiligte:
    Likforman-Sulem, L. (Autor:in) / Hanimyan, A. (Autor:in) / Faure, C. (Autor:in)


    Erscheinungsdatum :

    01.01.1995


    Format / Umfang :

    426893 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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