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  • 标题:Two Phase Data Reduction for Hough Transformation to Detect Skew
  • 本地全文:下载
  • 作者:Sunil Kumar ; S. Gopinath
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2011
  • 卷号:3
  • 期号:10
  • 页码:3403-3411
  • 出版社:Engg Journals Publications
  • 摘要:An important pre-processing task in an automated document image processing system is detection of skew in the image. Skew detection and correction is the first step in the document analysis and understanding processing steps. Correction the skewed scanned document image is very important, because it has a direct effect on the reliability and efficiency of the segmentation and feature extraction stages. It is desirable to have a fast, all-purpose skew detector. This paper proposes a novel two phase method. This two phase method reduces the skewed data before applying the skew detection and correction methods. A combination of the two phase method and the Hough Transformation can quickly and accurately detect skew on a wide variety of document images. Results of a test of the new algorithm and a comparison against the simple Hough transformation algorithm on 100 pages show the new algorithm to be much faster.
  • 关键词:Skew detection; Hough Transformation; Two phase data reduction; Projection Profile; Least Squares method; and Principal Component analysis.
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