@InProceedings{MascaroCava:2008:EsSkAn,
author = "Mascaro, Ang{\'e}lica A. and Cavalcanti, George D. C.",
affiliation = "Center of Informatics, Federal University of Pernambuco and
{AiLeader Technologies} and Center of Informatics, Federal
University of Pernambuco and {AiLeader Technologies}",
title = "Estimating the skew angle of scanned document through background
area information",
booktitle = "Proceedings...",
year = "2008",
editor = "Jung, Cl{\'a}udio Rosito and Walter, Marcelo",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 21.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "skew estimation, document analysis.",
abstract = "The skew correction of scanned document images is an important
step toward an automatic recognition system. Several techniques
have been developed to estimate the skew angle of a scanned
document. However, most of these techniques have the problem of
expensive computational costs. A variation of a fast method based
on parallelograms covering is presented in this article. The
objective is to obtain lower computation time and provide a way to
work well over noisy images and also over different layouts
containing non-text areas with no decrease in performance.
Experimental study with different databases achieved results that
overcome previous techniques.",
conference-location = "Campo Grande, MS, Brazil",
conference-year = "12-15 Oct. 2008",
doi = "10.1109/SIBGRAPI.2008.34",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2008.34",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/UNhcm",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/UNhcm",
targetfile = "mascaro_cavalcanti-skew.pdf",
urlaccessdate = "2024, Apr. 27"
}