9 June 2016 Robust skew estimation using straight lines in document images
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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.
© 2016 SPIE and IS&T
Hyung Il Koo, 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 . Submission:
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