Fast Seamless Skew and Orientation Detection in Document Images

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, scaleindependent algorithm capable of accurately detecting the global skew angle of document images within the range [-90◦ , 90◦ ]. By using the same framework, the algorithm is then extended for Roman script documents so as to cope with the full range [-180◦ , 180◦ ) 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 110 000 real-life images show the accuracy and robustness of the proposed method.

• Type: Conference
• Year: 2010
• Where: ICPR
• Authors: Iuliu Vasile Konya, Stefan Eickeler, Christoph Seibert
• Keywords: Computer Vision, Global Skew Angle, ICPR 2010, Skew Angles, Skew Detection