• DocumentCode
    985332
  • Title

    An evaluation of parallel thinning algorithms for character recognition

  • Author

    Lam, Louisa ; Suen, Ching Y.

  • Author_Institution
    Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
  • Volume
    17
  • Issue
    9
  • fYear
    1995
  • fDate
    9/1/1995 12:00:00 AM
  • Firstpage
    914
  • Lastpage
    919
  • Abstract
    Skeletonization algorithms have played an important role in the preprocessing phase of OCR systems. In this paper we report on the performance of 10 parallel thinning algorithms from this perspective by gathering statistics from their performance on large sets of data and examining the effects of the different thinning algorithms on an OCR system
  • Keywords
    optical character recognition; parallel algorithms; reviews; OCR; character recognition; parallel thinning algorithms; preprocessing; skeletonization; Character recognition; Databases; Image processing; Iterative algorithms; NIST; Noise shaping; Optical character recognition software; Skeleton; Statistics; Writing;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.406659
  • Filename
    406659
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=985332