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Proceedings Paper

Severe document skew detection
Author(s): Oleg G. Okun
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Paper Abstract

Skew detection is one the first operations to be applied to scanned documents when converting data to a digital format. Its aim is to align an image before further processing because text segmentation and recognition methods require properly aligned next lines. Here we represent a new method of skew detection based on the principal component analysis and multi-resolution processing. A combination of these two approaches allows us to increase correctness of skew detection when finding an arbitrary skew angle from 0 to 179 degrees with low-resolution images of 25 - 50 dots per inch (dpi). The obtained results advantageously differentiate our technique from the methods determining a skew at a single resolution under conditions above.

Paper Details

Date Published: 24 September 1998
PDF: 12 pages
Proc. SPIE 3457, Mathematical Modeling and Estimation Techniques in Computer Vision, (24 September 1998); doi: 10.1117/12.323451
Show Author Affiliations
Oleg G. Okun, Institute of Engineering Cybernetics (Finland)

Published in SPIE Proceedings Vol. 3457:
Mathematical Modeling and Estimation Techniques in Computer Vision
Francoise J. Preteux; Jennifer L. Davidson; Edward R. Dougherty, Editor(s)

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