• DocumentCode
    1957838
  • Title

    Comparative study of Devanagari handwritten and printed character & numerals recognition using Nearest-Neighbor classifiers

  • Author

    Holambe, Anilkumar N. ; Holambe, Sushilkumar N. ; Thool, Ravinder C.

  • Author_Institution
    Dept. of Inf. Technol., Coll. Of Eng., Osmanabad, India
  • Volume
    1
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    426
  • Lastpage
    430
  • Abstract
    In this paper we are using Devanagari script OCR for recognition. The handwritten data set is created by us and for printed characters we have used ISM font. Here we are using gradient and curvature based feature extraction method. We have compared Nearest Neighbor, K-Nearest Neighbor, Euclidian Distance-based K-NN, Cosine Similarity -based K-NN, Condensed Nearest Neighbor, Reduced Nearest neighbor, Farthest like neighbor and Nearest unlike Neighbor.
  • Keywords
    feature extraction; handwritten character recognition; image classification; Devanagari handwritten recognition; Devanagari numerals recognition; Devanagari printed character; Devanagari script OCR; ISM font; curvature based feature extraction method; gradient based feature extraction method; nearest-neighbor classifiers; Argon; Artificial neural networks; Pixel; Devanagari; Nearest Neighbor; curvature; gradient;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5565024
  • Filename
    5565024