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		<doi>10.1109/SIBGRAPI.2008.34</doi>
		<citationkey>MascaroCava:2008:EsSkAn</citationkey>
		<title>Estimating the skew angle of scanned document through background area information</title>
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		<year>2008</year>
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		<author>Mascaro, Angélica A.,</author>
		<author>Cavalcanti, George D. C.,</author>
		<affiliation>Center of Informatics, Federal University of Pernambuco</affiliation>
		<affiliation>AiLeader Technologies</affiliation>
		<affiliation>Center of Informatics, Federal University of Pernambuco</affiliation>
		<affiliation>AiLeader Technologies</affiliation>
		<editor>Jung, Cláudio Rosito,</editor>
		<editor>Walter, Marcelo,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI)</conferencename>
		<conferencelocation>Campo Grande, MS, Brazil</conferencelocation>
		<date>12-15 Oct. 2008</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>skew estimation, document analysis.</keywords>
		<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.</abstract>
		<language>en</language>
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