• DocumentCode
    3188432
  • Title

    Image quality and readability

  • Author

    Govindaraju, Venu ; Srihari, Sargur N.

  • Author_Institution
    Center of Excellence for Document Anal. & Recognition, State Univ. of New York, Buffalo, NY, USA
  • Volume
    3
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    324
  • Abstract
    Determining the readability of documents is an important task. Human readability pertains to the scenario when a document image is ultimately presented to a human to read. Machine readability pertains to the scenario when the document is subjected to an OCR process. In either case, poor image quality might render a document unreadable. A document image which is human readable is often not machine readable. It is often advisable to filter out documents of poor image quality before sending them to either machine or human for reading. This paper is about the design of such a filter. We describe various factors which affect document image quality and the accuracy of predicting the extent of human and machine readability possible using metrics based on document image quality
  • Keywords
    document image processing; image processing; optical character recognition; OCR process; document image; document image quality; documents readability; human readability; image readability; machine readability; Accuracy; Art; Automation; Filters; Humans; Image quality; Image recognition; Optical character recognition software; Text analysis; Venus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.538547
  • Filename
    538547