A digitized image that consists of text strings and uniformly distributed background symbols must be segmented if the characters in the text string are to be recognized. This paper describes the development and implementation of morphological approach to character string extraction from regular periodic overlapping text/background images that minimizes the shape distortion of characters. The effectiveness of this algorithm is demonstrated on several test images.<>


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    Title :

    A morphological approach to text string extraction from regular periodic overlapping text/background images


    Contributors:
    Su Liang (author) / Ahmadi, M. (author) / Shridhar, M. (author)


    Publication date :

    1994-01-01


    Size :

    461028 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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