This paper discusses sampling intervals of two-dimensional Gabor features in the two-dimensional pattern, orientation angle, and logarithmic frequency domains. The discussion on the feature stabilities for basic image transformations clarifies the stable range for translation, rotation and scaling. These stable ranges directly lead to sampling intervals for the individual feature domains. Multi-resolution features are constructed in terms of the combination of elements optimally sampled in the feature domains. The features of the optimal sampling intervals are examined in printed Japanese character recognition. The optimal sampling intervals maximize recognition rates at the same time as keeping computational cost low.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Optimal sampling intervals for Gabor features and printed Japanese character recognition


    Contributors:
    Yamada, K. (author)


    Publication date :

    1995-01-01


    Size :

    478883 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Recognition of Gray Character using Gabor Filters

    Hu, P. / Zhao, Y. / Wang, J. et al. | British Library Conference Proceedings | 2002


    Recognition of gray character using gabor filters

    Peifeng Hu, / Yannan Zhao, / Zehong Yang, et al. | IEEE | 2002


    Object recognition with adaptive Gabor features

    Alterson, R. / Spetsakis, M. | British Library Online Contents | 2004


    Recognition of Handprinted Chinese Characters Using Gabor Features

    Hamamoto, Y. / Uchimura, S. / Masamizu, K. et al. | British Library Conference Proceedings | 1995