• DocumentCode
    2756927
  • Title

    Enhancement and cleaning of handwritten data by using neural networks and threshold technical

  • Author

    Varghahan, Behrooz Zali ; Amirani, Mehdi Chehel ; Mihandoost, Sara

  • Author_Institution
    Dept. of Electr. Eng., Urmia Univ., Urmia, Iran
  • fYear
    2011
  • fDate
    12-14 Oct. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper propos the use threshold technical and artificial neural network (ANN) for clean and enhancement scanned image for recognition task. we show noise reduction and cleaning image can used different filter that result is not gratify. Multilayer perceptron (MLP) are trained in supervised methods using a cleaning image product with threshold technical and the corresponding noise handwritten image that product from scanning with scan machine. Results showes that this method is very performance from using filter for cleaning Image. Process of cleaning image is the preprocessing for system Handwritten recognition that we do this work in this paper.
  • Keywords
    handwritten character recognition; image denoising; image enhancement; image recognition; image segmentation; learning (artificial intelligence); multilayer perceptrons; artificial neural network; handwritten data cleaning; handwritten data enhancement; image cleaning; image recognition; multilayer perceptron; noise reduction; scan machine; scanned image enhancement; supervised method; threshold technical; Backpropagation; Handwriting recognition; artificial neural network; clean image; handwritten recognition; multilayer perceptron; threshold technical;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application of Information and Communication Technologies (AICT), 2011 5th International Conference on
  • Conference_Location
    Baku
  • Print_ISBN
    978-1-61284-831-0
  • Type

    conf

  • DOI
    10.1109/ICAICT.2011.6111026
  • Filename
    6111026