• DocumentCode
    1908103
  • Title

    Handwritten farsi numeral recognition by neural network based on single electron transistors (SETs)

  • Author

    Najafi, M. ; Shahhoseini, A. ; Mirzakuchaki, S.

  • Author_Institution
    Dept. of Electr. Eng., Islamic Azad Univ., Qazvin, Iran
  • fYear
    2012
  • fDate
    15-16 March 2012
  • Firstpage
    59
  • Lastpage
    62
  • Abstract
    In this paper, handwritten farsi numeral recognition task (0-9) is developed using Hamming neural network circuit based on single electron transistors. simulations were done using Hspice and MATLAB softwares, which in comparison with SIMON software to have high speed in simulink area.
  • Keywords
    handwritten character recognition; mathematics computing; natural languages; neural nets; optical character recognition; single electron transistors; Hamming neural network circuit; Hspice software; MATLAB software; SET; SIMON software; Simulink area; handwritten Farsi numeral recognition task; single electron transistors; Computer languages; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Devices, Circuits and Systems (ICDCS), 2012 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4577-1545-7
  • Type

    conf

  • DOI
    10.1109/ICDCSyst.2012.6188674
  • Filename
    6188674
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1908103