Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimizing binary feature vector similarity measure using genetic algorithm and handwritten character recognition


    Beteiligte:
    Sung-Hyuk Cha, (Autor:in) / Tappert, C.C. (Autor:in) / Srihari, S.N. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    277933 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Optimizing Binary Feature Vector Similarity Measure Using Genetic Algorithm and Handwritten Character Recognition

    Cha, S. / Tappert, C. / Srihari, S. et al. | British Library Conference Proceedings | 2003


    Using Normal Patterns in Handwritten Character Recognition

    Tascini, G. / Montesanto, A. / Puliti, P. et al. | British Library Conference Proceedings | 1999


    Handwritten Chinese Character Recognition using Spatial Gabor Filters and Self-Organizing Feature Maps

    Deng, D. / Chan, K. P. / Yu, Y. et al. | British Library Conference Proceedings | 1994


    Fuzzy Logic in Handwritten Character Recognition

    Kiselev, V. V. | British Library Online Contents | 2003