This paper reviews the state of the art in off-line Roman cursive handwriting recognition. The input provided to an off-line handwriting recognition system is an image of a digit, a word, or - more generally -some text, and the system produces, as output, an ASCII transcription of the input. This task involves a number of processing steps, some of which are quite difficult. Typically, preprocessing, normalization, feature extraction, classification, and postprocessing operations are required. We'll survey the state of the art, analyze recent trends, and try to identify challenges for future research in this field.


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    Title :

    Recognition of cursive Roman handwriting: past, present and future


    Contributors:
    Bunke, H. (author)


    Publication date :

    2003-01-01


    Size :

    344947 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Recognition of Cursive Roman Handwriting - Past, Present and Future

    Bunke, H. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2003


    Recognition of Off-Line Cursive Handwriting

    Abuhaiba, I. S. I. / Holt, M. J. J. / Datta, S. | British Library Online Contents | 1998


    Recognizing Off-Line Cursive Handwriting

    Yanikoglu, B. A. / Sandon, P. A. / Institute of Electrical and Electronics Engineers; Computer Society | British Library Conference Proceedings | 1994


    Off-Line Cursive Handwriting Segmentation

    Han, K. / Sethi, I. K. | British Library Conference Proceedings | 1995


    Learning-Based Cursive Handwriting Synthesis

    Wang, J. / Wu, C. / Xu, Y. et al. | British Library Conference Proceedings | 2002