This paper presents the use of analysing the connected components extracted from the binary image of a document page. Such an analysis provides a lot of useful information, and will be used to perform skew correction, segmentation and classification of the document. We present a new algorithm for determining the skew angle of lines of text in an image of a document with the advantage that it only performs one iteration to determine the skew angle. Experiments on over 30 pages show that the method works well on a wide variety of layouts, including sparse textual regions, mixed fonts, multiple columns, and even for documents with a high graphical content.


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    Titel :

    Page segmentation and classification utilising a bottom-up approach


    Beteiligte:
    Drivas, D. (Autor:in) / Amin, A. (Autor:in)


    Erscheinungsdatum :

    01.01.1995


    Format / Umfang :

    458494 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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