The extraction of lines, words and characters from a digital document image are necessary computational steps preceding character recognition. Much has been discussed in character segmentation and recognition but little has been done in the area of line and word segmentation. The authors present two special filters, minimum difference filters (MDF) and average difference filters (ADF) to facilitate line and word segmentation. They discuss how to select the scales of these filters dynamically and how to use the filters to eliminate crossing lines from a text image.


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    Title :

    Gray scale filtering for line and word segmentation


    Contributors:
    Yi Lu (author) / Tisler, A.C. (author)


    Publication date :

    1995-01-01


    Size :

    472068 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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