• DocumentCode
    3487861
  • Title

    Document Image Quality Assessment: A Brief Survey

  • Author

    Peng Ye ; Doermann, David

  • Author_Institution
    Language & Media Process. Lab., Univ. of Maryland, Coll. Park, College Park, MD, USA
  • fYear
    2013
  • fDate
    25-28 Aug. 2013
  • Firstpage
    723
  • Lastpage
    727
  • Abstract
    To maintain, control and enhance the quality of document images and minimize the negative impact of degradations on various analysis and processing systems, it is critical to understand the types and sources of degradations and develop reliable methods for estimating the levels of degradations. This paper provides a brief survey of research on the topic of document image quality assessment. We first present a detailed analysis of the types and sources of document degradations. We then review techniques for document image degradation modeling. Finally, we discuss objective measures and subjective experiments that are used to characterize document image quality.
  • Keywords
    document image processing; detailed analysis; document image degradation modeling; document image quality assessment; Accuracy; Degradation; Entropy; Image quality; Measurement; Noise; Optical character recognition software; image quality assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2013.148
  • Filename
    6628713