We present an automatic recognition system applied to handwritten numeral check amounts. This system is based on a segmentation-by-recognition probabilistic model. The application is described from the field amount localization to the hypothesis generation of amounts. An explicit segmentation algorithm determines cut regions on digit links and provides a multiple spatial representation. The best path for the segmentation is determined by the combination of the recognition scores, segmentation weights and the outputs of a probabilistic parser. Training is done by a bootstrapping technique, which significantly improves the performances of the different algorithms. It also allows the use of a reject class at the recognition step. The system was evaluated on 10000 database images to show its robustness.


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    Title :

    An automatic reading system for handwritten numeral amounts on French checks


    Contributors:
    Lethelier, E. (author) / Leroux, M. (author) / Gilloux, M. (author)


    Publication date :

    1995-01-01


    Size :

    568489 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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