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ICDAR
2005
IEEE

Dewarping of document image by global optimization

9 years 5 months ago
Dewarping of document image by global optimization
This paper proposes a novel dewarping technique for document images of bound volumes. This technique is a kind of model fitting techniques for estimating the warp of each text line by fitting some elastic curve model to the text line. Differing from conventional techniques, the proposed technique is applicable to document images including local irregularities such as formulae, short text lines, and figures, since the proposed technique dewarps whole document images by fitting splines while considering the global optimality that specifies the desirable relationship among the splines. The experimental results on several document images including the local irregularities indicated the effectiveness of the proposed technique. The experimental result also indicated the effectiveness of the vertical division of a document image into some partial document images for more accurate dewarping.
Hironori Ezaki, Seiichi Uchida, Akira Asano, Hiroa
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDAR
Authors Hironori Ezaki, Seiichi Uchida, Akira Asano, Hiroaki Sakoe
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