This paper describes some of research results related to the development of a character recognizer appropriate for fast handwritten Korean address reading. Our goal is to design a handwritten Korean character recognizer retaining the following three characteristics: reliable recognition scores indicating probability, high speed, and naturally acceptable cumulative recognition rates. We have adopted two statistical classifiers to satisfy the first characteristic and proposed methods coupling the two classifiers to meet the second and third ones. The superiority of the proposed combination methods has been proven through experiments done with the PE92 database.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A combination method of two classifiers based on the information of confusion matrix


    Beteiligte:
    Jeong, S.H. (Autor:in) / Lim, K.T. (Autor:in) / Nam, Y.S. (Autor:in)


    Erscheinungsdatum :

    2002-01-01


    Format / Umfang :

    769147 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Combination Method of Two Classifiers Based on the Information of Confusion Matrix

    Jeong, S. H. / Lim, K. T. / Nam, Y. S. | British Library Conference Proceedings | 2002


    Naval Target Classification Based on the Confusion Matrix

    Giompapa, S. / Farina, A. / Gini, F. et al. | IEEE | 2008


    Crosswalk Confusion

    Mitman, Meghan Fehlig / Ragland, David R. | Transportation Research Record | 2007


    Combination of multiple classifiers for handwritten word recognition

    Wenwei Wang, / Brakensiek, A. / Rigoll, G. | IEEE | 2002


    Interior Confusion

    Online Contents | 2001