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Proceedings Paper

Document skew-angle detection algorithm
Author(s): Daniel X. Le; George R. Thoma
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Paper 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.

Paper Details

Date Published: 27 August 1993
PDF: 12 pages
Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); doi: 10.1117/12.150957
Show Author Affiliations
Daniel X. Le, National Library of Medicine (United States)
George R. Thoma, National Library of Medicine (United States)

Published in SPIE Proceedings Vol. 1961:
Visual Information Processing II
Friedrich O. Huck; Richard D. Juday, Editor(s)

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