• DocumentCode
    1583057
  • Title

    A framework of combining numeric string recognizers

  • Author

    Ye, Xiangyun ; Cheriet, Mohamed ; Suen, Ching Y.

  • Author_Institution
    Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    716
  • Lastpage
    720
  • Abstract
    Although promising results on the combination of character recognizers have been reported recently, the combination strategies can not be readily applied to the recognition of character strings due to m-n correspondence problems caused by segmentation errors. In this paper, we propose a new paradigm of combining multiple string recognizers and contribute a generic framework for off-line combination. We designed and implemented a graph based off-line combination system, StrCombo, which has achieved a substantial improvement over any one of the individual recognizers in a real-life application. This open combination system provides the possibility of further improving the performance of string recognizers when new recognizers and combination rules are available
  • Keywords
    character recognition; image segmentation; string matching; StrCombo; character recognizers m-n correspondence problems; generic framework; multiple string recognizers; numeric string recognizers; off-line combination; segmentation errors; Artificial intelligence; Character recognition; Handwriting recognition; Image recognition; Laboratories; Machine intelligence; Merging; Optical character recognition software; Pattern recognition; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7695-1263-1
  • Type

    conf

  • DOI
    10.1109/ICDAR.2001.953883
  • Filename
    953883