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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/2048

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dc.contributor.authorHarit, Gaurav-
dc.contributor.authorChaudhury, Santanu-
dc.contributor.authorGupta, P-
dc.contributor.authorVohra, N-
dc.contributor.authorJoshi, S D-
dc.date.accessioned2006-08-07T03:26:52Z-
dc.date.available2006-08-07T03:26:52Z-
dc.date.issued2001-
dc.identifier.citationDocument Analysis and Recognition, Proceedings Sixth International Conference on, 1137 - 1141p.en
dc.identifier.urihttp://eprint.iitd.ac.in/dspace/handle/2074/2048-
dc.description.abstractThis paper presents a new model-based document image segmentation scheme that uses XML-DTDs (eXtensible Markup Language Document Type Definitions). Given a document image, the algorithm has the ability to select the appropriate model. A new wavelet-based tool has been designed for distinguishing text from non-text regions and characterization of font sizes. Our model-based analysis scheme makes use of this tool for identifying the logical components of a document imageen
dc.format.extent65949 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.subjectsegmentationen
dc.subjectlayout analysisen
dc.subjectXML-DTDen
dc.titleA model guided document image analysis schemeen
dc.typeArticleen
Appears in Collections:Electrical Engineering

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