• DocumentCode
    3705077
  • Title

    Hand written digit recognition system for South Indian languages using artificial neural networks

  • Author

    Leo Pauly;Rahul D Raj;Binu Paul

  • Author_Institution
    Division of Electronics Engineering, School of Engineering, Cochin University of Science and Technology, Kochi -682022, Kerala, India
  • fYear
    2015
  • Firstpage
    122
  • Lastpage
    126
  • Abstract
    In this paper a novel approach for recognition of handwritten digits for South Indian languages using artificial neural networks (ANN) and Histogram of Oriented Gradients (HOG) features is presented. The images of documents containing the hand written digits are optically scanned and are segmented into individual images of isolated digits. HOG features are then extracted from these images and applied to the ANN for recognition. The system recognises the digits with an overall accuracy of 83.4%.
  • Keywords
    "Feature extraction","Artificial neural networks","Histograms","Image segmentation","Handwriting recognition","Biological neural networks","Wiener filters"
  • Publisher
    ieee
  • Conference_Titel
    Contemporary Computing (IC3), 2015 Eighth International Conference on
  • Print_ISBN
    978-1-4673-7947-2
  • Type

    conf

  • DOI
    10.1109/IC3.2015.7346665
  • Filename
    7346665
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3705077