The paper describes a holistic recognizer developed for use in a hybrid recognition system. The recognizer uses information about the word shape. As this information is strongly related to word zoning, care is taken to avoid limitations resulting from the inaccuracy of zone detection. The recognizer uses a very simple set of features and a fuzzy set based pattern matching technique. This aims to increase its robustness, but also causes problems with disambiguation of the results. A verification mechanism, using letter alternatives as compound features, is introduced. The letter alternatives are obtained from a segmentation based recognizer coexisting in the hybrid system. The holistic recognizer is found capable of outperforming the segmentation based one, despite the remaining disambiguation problems. When working together in a hybrid system, the results are significantly higher than those of the individual recognizers. Recognition results are reported and compared.


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    Title :

    Zoning invariant holistic recognizer for hybrid recognition of handwriting


    Contributors:
    Powalka, R.K. (author) / Sherkat, N. (author) / Whitrow, R.J. (author)


    Publication date :

    1995-01-01


    Size :

    496903 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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