This paper discusses a technique for locating the courtesy amount block on bank checks. In the analysis and recognition process, connected components in the image are identified first. Then, strings are constructed on the basis of proximity and horizontal alignment of characters. Next, a set of rules and heuristics are applied to these strings to choose the correct one. The chosen string is only accepted if it passes a verification test, which includes an attempt to recognize the currency sign. A deterministic finite automaton system is then used for segmenting the handprinted courtesy amount. Finally, the separated components are passed on to a neural network based recognition system.


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    Titel :

    Detection of courtesy amount block on bank checks


    Beteiligte:
    Agarwal, A. (Autor:in) / Granowetter, L. (Autor:in) / Hussein, K. (Autor:in) / Gupta, A. (Autor:in) / Wang, P.S.P. (Autor:in)


    Erscheinungsdatum :

    01.01.1995


    Format / Umfang :

    491272 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Detection of courtesy amount block on bank checks

    Agarwal, A. / Hussein, K. / Gupta, A. et al. | British Library Online Contents | 1996


    Detection of Courtesy Amount Block on Bank Checks

    Agarwal, A. / Granowetter, L. / Hussein, K. et al. | British Library Conference Proceedings | 1995


    Recognition of Courtesy Amounts on Bank Checks Based on a Segmentation Approach

    Zhang, L. Q. / Suen, C. Y. | British Library Conference Proceedings | 2002



    Feedback-based architecture for reading courtesy amounts on checks

    Palacios, R. / Gupta, A. / Wang, P. S. P. | British Library Online Contents | 2003