• DocumentCode
    2372833
  • Title

    Pattern Recognition for the Letters of Dactyl Alphabet by Using a Novel Neural Network Simulator

  • Author

    Durackova, Daniela ; Raschman, Emil

  • Author_Institution
    Fac. of Electr. Eng. & Inf. Technol., Bratislava
  • fYear
    2007
  • fDate
    19-21 Oct. 2007
  • Firstpage
    97
  • Lastpage
    99
  • Abstract
    There are many cases, where the image processing is performed using the neural network. First, for good pattern recognition, the analysis of the suitable network model is very important. Thus, our goal in this work was to develop the simulator for the universal neural network analysis and on the base of this analysis to create the suitable neural network for the image processing. On the base of this network we have also designed some base circuits, which will be used for the future implementation of the neuron/network on the chip. The idea is to use it for more complex chip, used as the silicon retina in the future.These instructions give you basic guidelines for preparing papers for conference proceedings.
  • Keywords
    digital simulation; image recognition; natural languages; neural nets; dactyl alphabet letters recognition; image processing; neural network simulator; pattern recognition; Analytical models; Circuit simulation; Image analysis; Image processing; Neural networks; Neurons; Pattern analysis; Pattern recognition; Retina; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Cybernetics, 2007. ICCC 2007. IEEE International Conference on
  • Conference_Location
    Gammarth
  • Print_ISBN
    978-1-4244-1146-7
  • Electronic_ISBN
    978-1-4244-1146-7
  • Type

    conf

  • DOI
    10.1109/ICCCYB.2007.4402022
  • Filename
    4402022