• DocumentCode
    2338385
  • Title

    Straightening warped text lines using polynomial regression

  • Author

    Zhang, Zheng ; Tan, Chew Lim

  • Author_Institution
    Sch. of Comput., Nat. Univ. of Singapore, Singapore
  • Volume
    3
  • fYear
    2002
  • fDate
    24-28 June 2002
  • Firstpage
    977
  • Abstract
    Perspective distortion always occurs while scanning thick, bound documents, resulting in two problems in the scanned grayscale image: (i) shadow along the ´spine´ of the book; (ii) warping of words in the shadow area. In our previous paper, we proposed a restoration system to solve these two problems (see Zheng Zhang and Chew Lim Tan, Int. Conf. on Image Proc., p.1074-7, 2001). However the shape of the warped words was not fully restored, since we simply shifted and rotated the warped word. We now propose a better method to straighten a warped text line using polynomial regression. The implementation results comparing with those of the old system show a marked improvement in the restoration of the image.
  • Keywords
    document image processing; image restoration; optical distortion; polynomials; statistical analysis; text analysis; image restoration; perspective distortion; polynomial regression; scanned grayscale image; warped text line straightening; Books; Degradation; Drives; Glass; Gray-scale; Image restoration; Linear regression; Optical character recognition software; Polynomials; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing. 2002. Proceedings. 2002 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7622-6
  • Type

    conf

  • DOI
    10.1109/ICIP.2002.1039138
  • Filename
    1039138