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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
© 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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
S.1924-1928
International Conference on Pattern Recognition (ICPR) <20, 2010, Istanbul>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()
skew detection; orientation detection; document analysis

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.

: http://publica.fraunhofer.de/dokumente/N-151366.html