Improving the Courtesy Amount Recognition Accuracy Rate Through Delimiters Identification

Abstract : This paper deals with automatic recognition of real bank checks. A new approach is proposed to read the numerical amount field from bank checks, considering the numeric value and the different delimiters existent in that field. The proposal combines different neural networks classifiers to perform the recognition. Experimental results have shown that this approach is robust and efficient for automatic recognition of real Brazilian bank checks.
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Communication dans un congrès
Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006
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Soumis le : vendredi 6 octobre 2006 - 10:03:45
Dernière modification le : vendredi 6 octobre 2006 - 10:18:30
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  • HAL Id : inria-00104228, version 1

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Cleber Zanchettin, George D. C. Cavalcanti, Eduardo F. A. Silva, Byron L. D. Bezerra, Rodrigo C. Dória, et al.. Improving the Courtesy Amount Recognition Accuracy Rate Through Delimiters Identification. Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006. 〈inria-00104228〉

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