This paper presents a complete procedure for the segmentation of handwritten numeric strings. The procedure uses an hypothesis-then-verification strategy in which multiple segmentation algorithms based on contiguous row partition work sequentially on the binary image until an acceptable segmentation is obtained. At this purpose a new set of algorithms simulating a "drop falling" process is introduced. The experimental tests demonstrate the effectiveness of the new algorithms in obtaining high-confidence segmentation hypotheses.


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    Title :

    Segmentation of numeric strings


    Contributors:
    Congedo, G. (author) / Dimauro, G. (author) / Impedovo, S. (author) / Pirlo, G. (author)


    Publication date :

    1995-01-01


    Size :

    399741 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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