A hybrid character recognition system is studied using feature extraction method. The features are extracted using wavelet transform, pre-classified using a k-nearest neighbor-based neural net and subsequently post-processed using an optical correlator.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A feature-based neural wavelet optical character recognition system


    Contributors:


    Publication date :

    1995-01-01


    Size :

    635832 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Feature-Based Neural Wavelet Optical Character Recognition System

    Iftekharuddin, K. M. / Jemili, K. / Karim, M. A. et al. | British Library Conference Proceedings | 1995


    Number Plate Recognition Based on Multi Feature and Character Recognition

    Thanojkumar, S. / Suneetha, I. | BASE | 2017

    Free access

    Incremental Character Recognition with Feature Attribution

    Audouin, R. / Shastri, L. | British Library Conference Proceedings | 1995


    Incremental character recognition with feature attribution

    Audouin, R. / Shastri, L. | IEEE | 1995


    Optical Character Recognition-Based Signboard Detection

    Dinesh, N. / Mathi, Senthilkumar | Springer Verlag | 2022