• DocumentCode
    344178
  • Title

    An enhanced skew angle estimation technique for binary document images

  • Author

    Ma, Huiye ; Yu, Zhenwei

  • Author_Institution
    Min. & Technol., Beijing Graduate Sch. of China Univ., China
  • fYear
    1999
  • fDate
    20-22 Sep 1999
  • Firstpage
    165
  • Lastpage
    168
  • Abstract
    In this paper, an improved skew angle estimation technique is presented. Skew angle detection is an important part of any optical character recognition (OCR) and document analysis system. The method considers the lowermost pixels of some selected characters of the text, which may be subject to the Hough transform for skew angle detection. A fast approach is also proposed which works almost as accurately as the Hough transform for skew angle detection. Experimental results are presented and compared with results on several other skew detection methods
  • Keywords
    Hough transforms; document image processing; optical character recognition; Hough transform; OCR; binary document images; document analysis system; experimental results; optical character recognition; pixels; skew angle estimation technique; Character recognition; Electrical capacitance tomography; Fourier transforms; Goniometers; Histograms; Image analysis; Nearest neighbor searches; Optical character recognition software; Testing; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    0-7695-0318-7
  • Type

    conf

  • DOI
    10.1109/ICDAR.1999.791750
  • Filename
    791750