• DocumentCode
    2022937
  • Title

    Document skew detection using minimum-area bounding rectangle

  • Author

    Safabakhsh, Reza ; Khadivi, Shahram

  • Author_Institution
    Comput. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    253
  • Lastpage
    258
  • Abstract
    Detection of document skew is an important step in document image analysis. The paper presents a new method for calculation of document skew. The method forms large connected components by a smoothing algorithm and calculates the document skew by finding the orientation of the minimum-area bounding rectangle of one of several connected components. Connection of text to non-text in the smoothing step does not degrade the performance of the method. The smoothing parameters are determined automatically and no manual adjustment is necessary. The method is not limited in the range of detectable skew angles and the achievable accuracy. Experimental results show the high performance of the algorithm in detecting document skew for a variety of documents with different levels of complexity
  • Keywords
    document image processing; smoothing methods; text analysis; connected components; detectable skew angles; document complexity; document image analysis; document skew; document skew detection; large connected components; minimum-area bounding rectangle; smoothing algorithm; smoothing parameters; Degradation; Image analysis; Smoothing methods; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: Coding and Computing, 2000. Proceedings. International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7695-0540-6
  • Type

    conf

  • DOI
    10.1109/ITCC.2000.844226
  • Filename
    844226