Robust skew estimation using straight lines in document images

Hyung Il Koo; Nam Ik Cho

doi:10.1117/1.JEI.25.3.033014

9 June 2016 Robust skew estimation using straight lines in document images

Hyung Il Koo, Nam Ik Cho

Author Affiliations +

Journal of Electronic Imaging, Vol. 25, Issue 3, 033014 (June 2016). https://doi.org/10.1117/1.JEI.25.3.033014

Abstract

A skew-estimation method using straight lines in document images is presented. Unlike conventional approaches exploiting the properties of text, we formulate the skew-estimation problem as an estimation task using straight lines in images and focus on robust and accurate line detection. To be precise, we adopt a block-based edge detector followed by a progressive line detector to take clues from a variety of sources such as text lines, boundaries of figures/tables, vertical/horizontal separators, and boundaries of textblocks. Extensive experiments on the datasets of skewed images and competition results reveal that the proposed method works robustly and yields accurate skew-estimation results.

Citation Download Citation

Hyung Il Koo and Nam Ik Cho "Robust skew estimation using straight lines in document images," Journal of Electronic Imaging 25(3), 033014 (9 June 2016). https://doi.org/10.1117/1.JEI.25.3.033014

Published: 9 June 2016

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