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		<site>sibgrapi.sid.inpe.br 802</site>
		<citationkey>HirataBarrTera:2000:TeSeAu</citationkey>
		<author>Hirata, Nina S. T.,</author>
		<author>Barrera, Junior,</author>
		<author>Terada, Routo,</author>
		<title>Text segmentation by automatically designed morphological operators</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)</conferencename>
		<year>2000</year>
		<editor>Carvalho, Paulo Cezar Pinto,</editor>
		<editor>Walter, Marcelo,</editor>
		<date>October</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Gramado, RS, Brazil</conferencelocation>
		<keywords>image segmentation, text segmentation, binary morphological operators, document image processing, character recognition system, image segmentation, heuristic filter, mathematical morphology.</keywords>
		<abstract>Identification of areas corresponding to text in document images is an important step for a character recognition system. We briefly review a technique for automatic design of binary morphological operators and show its application to the segmentation of text areas from document page images. We also present an heuristic filter used to refine the segmentation results. Results obtained for two different sets of images are shown.</abstract>
		<pages>284-291</pages>
		<notes>The conference was held in Gramado, RS, Brazil, from October 17 to 20.</notes>
		<organization>SBC - Brazilian Computer Society</organization>
		<tertiarytype>Full Paper</tertiarytype>
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		<targetfile>284-291.pdf</targetfile>
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