In this paper, we present a mathematical model for evaluating codes and primitives in optical character recognition. The model is based on code efficiency, calculated from its average length and its transmitted information. This efficiency is obtained from entropies and conditional entropies which are estimated from probabilities of character recognition depending on the issued codes. This method is used to evaluate two sets of primitives in numeral recognition. Then, we propose a method of constructing binary decision trees for the recognition of handwritten numerals. This method is based on the mathematical model previously stated, which is used to process the transmitted information about the primitives. We demonstrate the performance of our system with experiments using real data.


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    Title :

    Evaluation of codes and primitives: recognition of unconstrained handwritten numerals


    Contributors:
    Feray, N. (author) / de Brucq, D. (author) / Romeo-Pakker, K. (author) / Paquet, T. (author)


    Publication date :

    1995-01-01


    Size :

    425150 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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