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Restoring warped document image through segmentation and full page interpolation
Proc. SPIE 7247, 72470R (2009); http://dx.doi.org/10.1117/12.805424
Wednesday 21 January 2009
San Jose, CA, USA
Document Recognition and Retrieval XVI
Kathrin Berkner, Laurence Likforman-Sulem
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Add to FacebookIn camera-based optical character recognition (OCR) applications, warping is a primary problem. Warped document images should be restored before they are recognized by traditional OCR algorithm. This paper presents a novel restoration approach, which first makes an estimation of baseline and vertical direction estimation based on rough line and character segmentation, then selects several key points and determines their restoration mapping as a result of the estimation step, at last performs Thin-Plate Splines (TPS) interpolation on full page image using these key points mapping. The restored document image is expected to have straight baselines and erect character direction. This method can restore arbitrary local warping as well as keep the restoration result natural and smooth, consequently improves the performance of the OCR application. Experiments on several camera captured warped document images show effectiveness of this approach.
© 2008 COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
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Online Jan 19, 2009
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Yu Zhang, Changsong Liu, Xiaoqing Ding and Kongqiao Wang, "Restoring warped document image through segmentation and full page interpolation",
Proc. SPIE 7247, 72470R (2009); http://dx.doi.org/10.1117/12.805424
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