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		<citationkey>MoritaLetYacBorSab:2000:ReHaDa</citationkey>
		<author>Morita, Marisa Emika,</author>
		<author>Lethelier, Edouard,</author>
		<author>Yacoubi, Abdenaim El,</author>
		<author>Bortolozzi, Flávio,</author>
		<author>Sabourin, Robert,</author>
		<title>Recognition of handwritten dates on bank checks using an HMM approach</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>handwriting recognition, automatic handwritten date recognition, Brazilian bank checks, omni-writer context, fixed lexicon, explicit segmentation technique, grapheme sequence, hidden Markov models, small database images.</keywords>
		<abstract>The article presents the first results of our system applied to the automatic recognition of handwritten dates on Brazilian bank checks. Considering the omni-writer context, we detail our recognition module dedicated to processing the month field. This module is based on the combination of holistic and analytical approaches with a fixed lexicon. Both approaches operate with a single explicit segmentation technique to provide a grapheme sequence for the purposed hidden Markov models of each recognizer. We show significant improvements when combining both modules to get a satisfactory recognition rate considering the small database images we work with. Finally, we present various perspectives for future work.</abstract>
		<pages>113-120</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>113-120.pdf</targetfile>
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