%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi@80/2008/07.18.14.38
%2 sid.inpe.br/sibgrapi@80/2008/07.18.14.38.23
%@doi 10.1109/SIBGRAPI.2008.34
%T Estimating the skew angle of scanned document through background area information
%D 2008
%A Mascaro, Angélica A.,
%A Cavalcanti, George D. C.,
%@affiliation Center of Informatics, Federal University of Pernambuco
%@affiliation AiLeader Technologies
%@affiliation Center of Informatics, Federal University of Pernambuco
%@affiliation AiLeader Technologies
%E Jung, Cláudio Rosito,
%E Walter, Marcelo,
%B Brazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI)
%C Campo Grande, MS, Brazil
%8 12-15 Oct. 2008
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K skew estimation, document analysis.
%X 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.
%@language en
%3 mascaro_cavalcanti-skew.pdf