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Fast seamless skew and orientation detection in document images

: Konya, I.; Eickeler, S.; Seibert, C.

Postprint urn:nbn:de:0011-n-1513668 (626 KByte PDF)
MD5 Fingerprint: 8979bf6c08c07154cf7e542ad76bce5e
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Erstellt am: 27.1.2011

International Association for Pattern Recognition -IAPR-; Institute of Electrical and Electronics Engineers -IEEE-:
ICPR 2010, 20th International Conference on Pattern Recognition. Proceedings : 23-26 August, 2010, Istanbul, Turkey
Piscataway, NJ: IEEE, 2010
ISBN: 978-0-7695-4109-9
ISBN: 978-1-4244-7542-1
ISBN: 1-4244-7542-2
International Conference on Pattern Recognition (ICPR) <20, 2010, Istanbul>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()
skew detection; orientation detection; document analysis

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.