Severe document skew detection

Oleg G. Okun

doi:10.1117/12.323451

24 September 1998 Severe document skew detection

Oleg G. Okun

Proceedings Volume 3457, Mathematical Modeling and Estimation Techniques in Computer Vision; (1998) https://doi.org/10.1117/12.323451
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

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.

Citation Download Citation

Oleg G. Okun "Severe document skew detection", Proc. SPIE 3457, Mathematical Modeling and Estimation Techniques in Computer Vision, (24 September 1998); https://doi.org/10.1117/12.323451

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