• DocumentCode
    3314370
  • Title

    Power functions and their use in selecting distance functions for document degradation model validation

  • Author

    Kanungo, Tapas ; Haralick, Robert M. ; Baird, Henry S.

  • Author_Institution
    Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    14-16 Aug 1995
  • Firstpage
    734
  • Abstract
    Two document degradation models that model the perturbations introduced during the document printing and scanning process were proposed recently. Although degradation models are very useful, it is very important that we validate these models by comparing the synthetically generated images against real images. In recent past, two different validation procedures have also been proposed to validate such document degradation models. These validation procedures are functions of sample size and various distance functions. In this paper we outline a statistical methodology to compare the various validation schemes that result by using different distance functions. This methodology is general enough to compare any two validation schemes
  • Keywords
    document image processing; nonparametric statistics; optical character recognition; statistical analysis; document degradation; document degradation models; document printing; scanning; statistical methodology; validation procedures; Algorithm design and analysis; Degradation; Image generation; Optical character recognition software; Performance evaluation; Printing; Robustness; Statistical analysis; Statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-8186-7128-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.1995.602007
  • Filename
    602007