Document skew-angle detection algorithm

Daniel X. Le; George R. Thoma

doi:10.1117/12.150957

27 August 1993 Document skew-angle detection algorithm

Daniel X. Le, George R. Thoma

Proceedings Volume 1961, Visual Information Processing II; (1993) https://doi.org/10.1117/12.150957
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

As part of research into document image processing, an algorithm has been developed to detect the degree of skew in a scanned binary image. The principal components of the algorithm are component labelling, a procedure to reduce the amount of data to be processed, a technique to minimize the effect of non-textual data (graphics, forms, line art, large fonts, and dithered images) on the measurement of skew angle, and the Hough transform. The performance of the algorithm has been evaluated using a sample size of several hundred images of medical journal pages. Evaluation shows that a skew angle may be detected with an accuracy of about 0.50 degree.

Citation Download Citation

Daniel X. Le and George R. Thoma "Document skew-angle detection algorithm", Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); https://doi.org/10.1117/12.150957

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