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DAS
2008
Springer

A Two-Step Dewarping of Camera Document Images

14 years 1 months ago
A Two-Step Dewarping of Camera Document Images
Dewarping of camera document images has attracted a lot of interest over the last few years since warping not only reduces the document readability but also affects the accuracy of an OCR application. In this paper, a two-step approach for efficient dewarping of camera document images is presented. At a first step, a coarse dewarping is accomplished with the help of a transformation model which maps the projection of a curved surface to a 2D rectangular area. The projection of the curved surface is delimited by the two curved lines which fit the top and bottom text lines along with the two straight lines which fit to the left and right text boundaries. At a second step, fine dewarping is achieved based on words detection. All words are pose normalized guided by the lower and upper word baselines. Experimental results on several camera document images demonstrate the robustness and effectiveness of the proposed technique.
Nikolaos Stamatopoulos, Basilios Gatos, Ioannis Pr
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where DAS
Authors Nikolaos Stamatopoulos, Basilios Gatos, Ioannis Pratikakis, Stavros J. Perantonis
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