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Robust skew estimation using straight lines in document images

[+] Author Affiliations
Hyung Il Koo

Ajou University, Department of Electrical and Computer Engineering, Suwon-si, Gyeonggi-do 16499, Republic of Korea

Nam Ik Cho

Seoul National University, Department of EECS and INMC, Gwanak-gu, Seoul 08826, Republic of Korea

J. Electron. Imaging. 25(3), 033014 (Jun 09, 2016). doi:10.1117/1.JEI.25.3.033014
History: Received February 15, 2016; Accepted May 23, 2016
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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

Citation

Hyung Il Koo and Nam Ik Cho
"Robust skew estimation using straight lines in document images", J. Electron. Imaging. 25(3), 033014 (Jun 09, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.3.033014


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