A cursive Korean character consists of several Korean alphabets where connection is present within and among the alphabets. Recognition of Korean characters can be carried out by splitting each character into smaller primitives. Small line segments can be used as the primitives. But this approach requires too much processing time, for there can be many candidate references to be matched to one input character and each reference usually consists of too many primitives. In this paper, we propose an approach using structural curvature models to overcome the difficulties of using small line segments. These models are obtained by segmenting the input character at the points showing sudden change in direction, excessive rotation, etc. By doing this, rather larger and structural curve segments can be used as the basic primitives to be matched resulting in the savings of processing time and better recognition rate.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    On-line cursive Korean character recognition by using curvature models


    Contributors:
    Byung Hwan Jun (author) / Moo Young Kim (author) / Chang Soo Kim (author) / Woo Seong Kim (author) / Jaihie Kim (author)


    Publication date :

    1995-01-01


    Size :

    388255 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    On-Line Cursive Korean Character Recognition by Using Curvature Models

    Jun, B. H. / Kim, M. Y. / Kim, C. S. et al. | British Library Conference Proceedings | 1995


    Cursive Character Recognition System

    Toscano, Karina / Sanchez, Gabriel / Nakano, Mariko et al. | IEEE | 2006


    On-line cursive Kanji character recognition as stroke correspondence problem

    Wakahara, T. / Suzuki, A. / Nakajima, N. et al. | IEEE | 1995


    On-Line Cursive Kanji Character Recognition as Stroke Correspondence Problem

    Wakahara, T. / Suzuki, A. / Nakajima, N. et al. | British Library Conference Proceedings | 1995


    Recognition of Off-Line Cursive Handwriting

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