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Pattern Recognition, International Conference on (2010)
Istanbul, Turkey
Aug. 23, 2010 to Aug. 26, 2010
ISSN: 1051-4651
ISBN: 978-0-7695-4109-9
pp: 1924-1928
ABSTRACT
Reliable and generic methods for skew detection are a necessity for any large-scale digitization projects. As one of the first processing steps, skew detection and correction has a heavy influence on all further document analysis modules, such as geometric and logical layout analysis. This paper introduces a generic, scale-independent algorithm capable of accurately detecting the global skew angle of document images within the range [-90,90] degrees. By using the same framework, the algorithm is then extended for Roman script documents so as to cope with the full range [-180,180) degrees of possible skew angles. Despite its generality, the improved algorithm is very fast and requires no explicit parameters. Experiments on a combined test set comprising around 110000 real-life images show the accuracy and robustness of the proposed method.
INDEX TERMS
skew detection, orientation detection, document analysis
CITATION

C. Seibert, S. Eickeler and I. V. Konya, "Fast Seamless Skew and Orientation Detection in Document Images," 2010 20th International Conference on Pattern Recognition (ICPR 2010)(ICPR), Istanbul, 2010, pp. 1924-1928.
doi:10.1109/ICPR.2010.474
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