• DocumentCode
    2722596
  • Title

    Neural Network Based Offline Tamil Handwritten Character Recognition System

  • Author

    Sutha, J. ; Ramaraj, N.

  • Author_Institution
    Sethu Inst. of Technol., Virudhunagar
  • Volume
    2
  • fYear
    2007
  • fDate
    13-15 Dec. 2007
  • Firstpage
    446
  • Lastpage
    450
  • Abstract
    In this paper we propose an approach to recognize handwritten Tamil characters using a multilayer perceptron with one hidden layer. The feature extracted from the handwritten character is Fourier descriptors. Also an analysis was carried out to determine the number of hidden layer nodes to achieve high performance of backpropagation network in the recognition of handwritten Tamil characters. The system was trained using several different forms of handwriting provided by both male and female participants of different age groups. Test results indicate that Fourier descriptors combined with backpropagation network provide good recognition accuracy of 97% for handwritten Tamil characters.
  • Keywords
    Fourier transforms; backpropagation; feature extraction; handwritten character recognition; multilayer perceptrons; Fourier descriptors; backpropagation network; feature extraction; multilayer perceptron; neural network; offline Tamil handwritten character recognition system; Backpropagation; Character recognition; Computational intelligence; Feature extraction; Handwriting recognition; Histograms; Multimedia systems; Natural languages; Neural networks; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
  • Conference_Location
    Sivakasi, Tamil Nadu
  • Print_ISBN
    0-7695-3050-8
  • Type

    conf

  • DOI
    10.1109/ICCIMA.2007.86
  • Filename
    4426737