• DocumentCode
    714623
  • Title

    Recognition of Hand-Sketched digital logic gates

  • Author

    Gul, Nuray ; Tora, Hakan

  • Author_Institution
    Elektrik - Elektron. Muhendisligi Bolumu, Atilim Univ., Ankara, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    1921
  • Lastpage
    1924
  • Abstract
    Hand-Sketched circuit recognition is a very useful tool in engineering area. Because most of the engineers prefer to design their circuits on the paper firstly. So, this can cause time wasting and some mistakes. In this study, which is based on the solving these kinds of problems, classification and recognition of the handwritten digital logic gates according to their complex and scalar FDs (Fourier Descriptors) is presented. Test results are obtained as 84.3 % accuracy rate for complex FDs, 98.6 % for scalar FDs. Then these results are compared and decided the optimum FDs type for this study.
  • Keywords
    handwritten character recognition; image classification; logic gates; Fourier descriptors; circuit design; complex FD accuracy rate; hand-sketched circuit recognition; hand-sketched digital logic gate recognition; handwritten digital logic gate classification; handwritten digital logic gate recognition; scalar FD accuracy rate; Accuracy; Character recognition; Computers; Handwriting recognition; Image recognition; Logic gates; MATLAB; Fourier Descriptors; boundaries of objects; image processing; object recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7130236
  • Filename
    7130236