Automated portrait/landscape mode detection on a binary image

Daniel X. Le; George R. Thoma

doi:10.1117/12.150951

27 August 1993 Automated portrait/landscape mode detection on a binary image

Daniel X. Le, George R. Thoma

Proceedings Volume 1961, Visual Information Processing II; (1993) https://doi.org/10.1117/12.150951
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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%.

Citation Download Citation

Daniel X. Le and George R. Thoma "Automated portrait/landscape mode detection on a binary image", Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); https://doi.org/10.1117/12.150951

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