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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    Title :

    Page segmentation and classification utilising a bottom-up approach


    Contributors:
    Drivas, D. (author) / Amin, A. (author)


    Publication date :

    1995-01-01


    Size :

    458494 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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