• DocumentCode
    2148085
  • Title

    A Technique for Skew Detection of Printed Arabic Documents

  • Author

    Ahmad, Ishtiaq

  • Author_Institution
    Inf. & Comput. Sci. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
  • fYear
    2013
  • fDate
    6-8 Aug. 2013
  • Firstpage
    62
  • Lastpage
    67
  • Abstract
    Document skew correction is one of the core preprocessing steps in document analysis systems. In this paper, the author proposes a new multi-step skew detection technique for printed Arabic documents. The technique exploits the unique property of the writing line of Arabic script and is based on connected component analysis and projection profiles. The proposed technique works for different types of Arabic documents having text and non-text zones with unrestricted layout. Moreover due to the multi-step approach, it can detect skews with the resolution of ± 0.05 degrees. Experiments conducted on different Arabic documents shows the effectiveness of the technique.
  • Keywords
    document image processing; natural language processing; object detection; statistical analysis; text analysis; Arabic script; connected component analysis; document analysis system; document skew correction; multistep skew detection technique; nontext zone; printed Arabic document; projection profile; writing line property; Algorithm design and analysis; Estimation; Image segmentation; Layout; Robustness; Text analysis; Writing; Document Analysis; Document Processing; Pre-processing; Skew Correction; Skew Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics, Imaging and Visualization (CGIV), 2013 10th International Conference
  • Conference_Location
    Macau
  • Type

    conf

  • DOI
    10.1109/CGIV.2013.21
  • Filename
    6658164