• DocumentCode
    3304147
  • Title

    Anchor point selection by KL-divergence

  • Author

    Parker, Charles

  • Author_Institution
    Eastman Kodak
  • fYear
    2010
  • fDate
    5-5 Nov. 2010
  • Firstpage
    42
  • Lastpage
    45
  • Abstract
    Selecting anchor points for the identification of scanned documents can be an effective and quick means of identifying unknown documents. Here, we discuss and compare some strategies for classification of scanned forms using anchor points and show experiments indicating that a robust system can be built with only a few training examples.
  • Keywords
    classification; document handling; KL-divergence; anchor point selection; classification; identification; scanned documents; Accuracy; Business; Databases; Gaussian distribution; Histograms; Optimization; Postal services; Anchor Point Selection; Document Fingerprinting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing Workshop (WNYIPW), 2010 Western New York
  • Conference_Location
    Rochester, NY
  • Print_ISBN
    978-1-4244-9298-5
  • Type

    conf

  • DOI
    10.1109/WNYIPW.2010.5649752
  • Filename
    5649752
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3304147