• DocumentCode
    756611
  • Title

    News Briefs

  • Volume
    38
  • Issue
    3
  • fYear
    2005
  • fDate
    3/1/2005 12:00:00 AM
  • Firstpage
    22
  • Abstract
    Technologies for reading and searching digitized documents have helped academic researchers. However, no one has developed a truly effective engine that can work with handwritten documents, a potentially valuable source of information for many purposes. R. Manmatha developed a system, which scans handwritten documents as images. The system compares an image of a word with images it has encountered in the past to find a likely match. It then identifies the new image as the word associated with the likely match. And making the system faster, perhaps by developing more efficient algorithms, will be particularly important so that it can work with large collections of documents.
  • Keywords
    document image processing; handwritten character recognition; image scanners; string matching; document image scanning; handwritten document reading; handwritten document searching; string matching;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/MC.2005.100
  • Filename
    1413112