• DocumentCode
    3288582
  • Title

    Structural Features for Recognizing Degraded Printed Gurmukhi Script

  • Author

    Jindal, M.K. ; Sharma, R.K. ; Lehal, G.S.

  • Author_Institution
    P. U. Regional Centre, Muktsar
  • fYear
    2008
  • fDate
    7-9 April 2008
  • Firstpage
    668
  • Lastpage
    673
  • Abstract
    The performance of an OCR system depends upon printing quality of the input document. Many OCRs have been designed which correctly identify fine printed documents in Indian and other scripts. But, little reported work has been found on the recognition of the degraded documents. The performance of any standard OCR system working for fine printed documents decreases, if it is tested on degraded documents. Feature extraction is an important task for designing an OCR for recognizing degraded documents. In this paper, we have discussed efficient structural features selected for recognizing degraded printed Gurmukhi script characters.
  • Keywords
    document handling; natural language processing; optical character recognition; OCR system; degraded documents; printed Gurmukhi script characters; structural features; Character recognition; Computer applications; Degradation; Feature extraction; Handwriting recognition; Information technology; Noise shaping; Optical character recognition software; Shape; Text recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations, 2008. ITNG 2008. Fifth International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7695-3099-0
  • Type

    conf

  • DOI
    10.1109/ITNG.2008.223
  • Filename
    4492558