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Proceedings Paper

Automated portrait/landscape mode detection on a binary image
Author(s): Daniel X. Le; George R. Thoma
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Paper Abstract

As part of research into automated document imaging, an algorithm has been developed to detect the orientation (portrait/landscape) of a binary image page. The detection is based on an analysis of projection profiles, vertical and horizontal variances on a page, and a technique to reduce the impact of non-textual data (blanks, graphics, forms, line art, large fonts, and dithered images) from the page orientation result. The algorithm performed well on test images independent of text dominance. The performance of the algorithm has been evaluated using a sample size of several thousand images of medical journal pages. The algorithm is capable of detecting the page orientation at an accuracy rate of 99.92 - 99.93%.

Paper Details

Date Published: 27 August 1993
PDF: 11 pages
Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); doi: 10.1117/12.150951
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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