A segmentation based courtesy amount recognition (CAR) system is presented in this paper. A two-stage segmentation module has been proposed, namely the global segmentation stage and the local segmentation stage. At the global segmentation stage, a courtesy amount is coarsely segmented into sub-images according to the spatial relationships of the connected components. These sub-images are then verified by the recognition module and the rejected sub-images are sequentially split using contour analysis at the local segmentation stage. Two neural network classifiers are combined into a recognition module. The isolated digit classifier divides the input patterns into ten numeral classes (0-9), while the holistic double zeros classifier recognizes the cursive and touching double zeros. Experimental results show that the system reads 66.5% bank checks correctly at 0% misreading rate.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Recognition of courtesy amounts on bank checks based on a segmentation approach


    Contributors:
    Zhang, L.Q. (author) / Suen, C.Y. (author)


    Publication date :

    2002-01-01


    Size :

    818212 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    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


    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. | IEEE | 1995


    Detection of Courtesy Amount Block on Bank Checks

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