For the analytic on-line recognition of handwriting, the range of pattern recognition problems can be described by the severity of letter segmentation required. More difficult problems require an interaction of letter segmentation and recognition. These problems include overlapping discretely written characters, pure cursive writing, and mixed cursive and discrete writing. To these problems concerning the letter segmentation, the word segmentation problems is added. Since a script can contain numbers, capital letters as well as lowercase letters, it is necessary to have a system able to recognize them. This paper describes an on-line system for identifying and recognizing numeral characters and capital letters in handwriting sentences. This system provides two segmentation modules: the first one is to isolate the word drawings within a sentence, and the other one is to separate numeral characters and capital letters from a mixed writing prior to their recognition.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Numeral characters and capital letters segmentation recognition in mixed handwriting context


    Contributors:
    Wehbi, H. (author) / Oulhadj, H. (author) / Lemoine, J. (author) / Petit, E. (author)


    Publication date :

    1995-01-01


    Size :

    384554 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Numerical Characters and Capital Letters Segmentation Recognition in Mixed Handwriting Context

    Wehbi, H. / Oulhadj, H. / Lemoine, J. et al. | British Library Conference Proceedings | 1995



    Handwritten Numeral Recognition Using Personal Handwriting Characteristics Based on Clustering Method

    Hotta, Y. / Naoi, S. / Suwa, M. et al. | British Library Conference Proceedings | 1996


    On recognition of handwriting Chinese characters

    Li, C. C. / Sze, T. W. / Teng, T. L. et al. | NTRS | 1967