Correcting for Variable Skew

  • A. Lawrence Spitz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2423)


The proliferation of inexpensive sheet-feed scanners, particularly in fax machines, has led to a need to correct for the uneven paper feed rates during digitization if the images produced by these scanners are to be further analyzed. We develop a technique for detecting and compensating for this type of image distortion.


Document Image Variable Skew Maintain Image Quality Vertical Centerline Select Sampling Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Apostolos Antonacopoulos, “Local Skew Angle Estimation From Background Space in Text Regions”, International Conference on Document Analysis and Recognition, pp 684–688. 1997.Google Scholar
  2. 2.
    Andrew D. Bagdanov, Junichi Kanai, “Evaluation of Document Image Skew Estimation Techniques”, SPIE, pp 343–353, 1996.Google Scholar
  3. 3.
    Henry S. Baird, “The Skew Angle of Printed Documents”, SPSE Symposium on Hybrid Imaging Systems, pp 21–24, 1987.Google Scholar
  4. 4.
    Roy Hunter & A. Harry Robinson, “International Digital Facsimile Coding Standards”. Proceedings of the IEEE, Vol. 68, No. 7, pp 854–867, July 1980.Google Scholar
  5. 5.
    Alan W. Paeth, “A Fast Algorithm for General Raster Rotation”, Graphics Interface’ 86, pp 77–81, 1986.Google Scholar
  6. 6.
    A. Lawrence Spitz, “Analysis of Compressed Document Images for Dominant Skew, Multiple Skew and Logotype Detection”, Computer Vision and Image Understanding, 70, 3, pp 321–334, 1998.CrossRefGoogle Scholar
  7. 7.
    A. Lawrence Spitz.” Skew Determination in CCITT Group 4 Compressed Images”, Symposium on Document Analysis and Information Retrieval, Las Vegas, Nevada, 1992.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • A. Lawrence Spitz
    • 1
  1. 1.Document Recognition Technologies, Inc.Palo AltoUSA

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