• DocumentCode
    659283
  • Title

    Implementation of ANN based Assamese Character recognition system with reinforcement of Radon Transform and PCA based feature extraction

  • Author

    Sharma, Praveen Kumar ; Deori, Mondira ; Kaur, Baljit ; Dey, Chanchal ; Das, Krishanu

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Don Bosco Coll. of Eng. & Technol., Guwahati, India
  • fYear
    2013
  • fDate
    13-14 Sept. 2013
  • Firstpage
    167
  • Lastpage
    171
  • Abstract
    This paper puts forward a methodology for recognizing Assamese Characters. The main objective of the work is to use the Radon Transform and Principal Component Analysis to obtain a set of invariant features. Then training and testing is done using ANN. Various experiments were conducted using this methodology and the results showed the effectiveness of the system.
  • Keywords
    Radon transforms; character recognition; feature extraction; neural nets; principal component analysis; ANN based Assamese character recognition system; PCA based feature extraction; Radon transform reinforcement; artificial neural network; principal component analysis; Artificial neural networks; Character recognition; Feature extraction; Principal component analysis; Training; Transforms; Vectors; ANN; Character Recognition; MLP; PCA; Radon Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends and Applications in Computer Science (ICETACS), 2013 1st International Conference on
  • Conference_Location
    Shillong
  • Print_ISBN
    978-1-4673-5249-9
  • Type

    conf

  • DOI
    10.1109/ICETACS.2013.6691416
  • Filename
    6691416
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=659283