DocumentCode :
3020168
Title :
Dewarping of document image by global optimization
Author :
Ezaki, Hironori ; Uchida, Seiichi ; Asano, Akira ; Sakoe, Hiroaki
Author_Institution :
Graduate Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka, Japan
fYear :
2005
fDate :
29 Aug.-1 Sept. 2005
Firstpage :
302
Abstract :
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.
Keywords :
curve fitting; document image processing; optimisation; splines (mathematics); document image dewarping; elastic curve fitting model; global optimization; splines fitting; Art; Calibration; Curve fitting; Digital cameras; Image recognition; Information science; Optical character recognition software; Shape measurement; Surface fitting; Text recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
ISSN :
1520-5263
Print_ISBN :
0-7695-2420-6
Type :
conf
DOI :
10.1109/ICDAR.2005.87
Filename :
1575558
Link To Document :
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