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dc.contributor.authorBusch, Andrewen_US
dc.contributor.authorW. Boles, Wageehen_US
dc.contributor.authorSridharan, Sridhaen_US
dc.contributor.authorChandran, Vinoden_US
dc.contributor.editorLovell, Brian C and Maeder, Anthony J.en_US
dc.description.abstractThis paper presents a novel technique for distinguishing images of forms from other document images. The proposed algorithm detects regions which are likely to be used for text entry, such as lines, boxes, and character entry fields, and calculates a probability of the document being a form based on the presence of such structures. Experimental results from testing on both filled and unfilled forms, as well as a selection of non-form documents are presented. All document images are assumed to have been scanned at a known resolution.en_US
dc.publisherUniversity of Queenslanden_US
dc.publisher.placeBrisbane, Australiaen_US
dc.relation.ispartofbookorjournalProceedings of Workshop on Digital Image Computing, 2003en_AU
dc.relation.ispartofconferencenameWorkshop on Digital Image Computing, 2003en_US
dc.relation.ispartofconferencetitleProceedings of Workshop on Digital Image Computing, 2003en_US
dc.relation.ispartoflocationBrisbane, Australiaen_US
dc.titleDetection of unknown forms from document imagesen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.hasfulltextNo Full Text

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    Contains papers delivered by Griffith authors at national and international conferences.

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