• DocumentCode
    2534226
  • Title

    Feature extraction for character recognition using Gabor-type filters implemented by cellular neural networks

  • Author

    Tavsanoglu, Vedat ; Saatci, Ertugrul

  • Author_Institution
    Sch. of Electr. Electron. & Inf. Eng., South Bank Polytech., London, UK
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    63
  • Lastpage
    68
  • Abstract
    This paper proposes an approach for feature extraction using a CNN Gabor filter and an orientation map. We use a set of handwritten characters for testing the complete system. The frequency response of the CNN Gabor-type filter and the filter output are studied for different values of the filter parameters
  • Keywords
    cellular neural nets; feature extraction; filtering theory; handwritten character recognition; CNN Gabor filter; cellular neural networks; character recognition; feature extraction; handwritten characters; orientation map; Application software; Cellular neural networks; Character recognition; Cloning; Computer vision; Feature extraction; Feedback; Frequency response; Gabor filters; Low pass filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
  • Conference_Location
    Catania
  • Print_ISBN
    0-7803-6344-2
  • Type

    conf

  • DOI
    10.1109/CNNA.2000.876821
  • Filename
    876821
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2534226