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Correcting Document Image Warping Based on Regression of Curved Text Lines
Edinburgh, Scotland August 03-August 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227732Seventh International Conference on D ...
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Zheng Zhang, National University of Singapore
Chew Lim Tan, National University of Singapore
Image warping is a common problem when one scans or photocopies a document page from a thick bound volume, resulting in shading and curved text lines in the spine area of the bound volume. This will not only impair readability, but will also reduce the OCR accuracy. Further to our earlier attempt to correct such images, this paper proposes a simpler connected component analysis and regression technique. Compared to our earlier method, the present system is computationally less expensive and is resolution independent too. The implementation of the new system and improvement of OCR accuracy are presented in this paper.
Citation:
Zheng Zhang, Chew Lim Tan, "Correcting Document Image Warping Based on Regression of Curved Text Lines," icdar, vol. 1, pp.589, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003
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