• DocumentCode
    1359416
  • Title

    CNN cloning template: shadow detector

  • Author

    Matsumoto, T. ; Chua, L.O. ; Suzuki, H.

  • Author_Institution
    Dept. of Electr. Eng., Waseda Univ., Tokyo, Japan
  • Volume
    37
  • Issue
    8
  • fYear
    1990
  • fDate
    8/1/1990 12:00:00 AM
  • Firstpage
    1070
  • Lastpage
    1073
  • Abstract
    A report on an extremely simple cloning template for cellular neural network (CNN) is presented. The template is capable of detecting the shadow cast by a two-dimensional image. The operation of the template is illustrated by an example. It is shown that when the shadow detector is used in addition to the connected-component detector (CCD), the recognition rate of handwritten characters (numerals, alphabets, symbols Japanese characters) increases significantly. This means that the output of the shadow detector contains a valuable feature, not revealed by the output from the CCD alone
  • Keywords
    character recognition; neural nets; Japanese characters; alphabets; cellular neural network; cloning template; connected-component detector; handwritten characters; numerals; shadow detector; symbols; two-dimensional image; Bifurcation; Cellular neural networks; Chaos; Character recognition; Charge coupled devices; Circuit stability; Circuits and systems; Cloning; Detectors; Digital filters; Fractals; Handwriting recognition; Shape;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-4094
  • Type

    jour

  • DOI
    10.1109/31.56083
  • Filename
    56083