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Segmentation of touching characters in printed document recognition

dc.contributor.authorLiang, Suen_US
dc.contributor.authorShridhar, M.en_US
dc.contributor.authorAhmadi, M.en_US
dc.date.accessioned2006-04-10T18:07:43Z
dc.date.available2006-04-10T18:07:43Z
dc.date.issued1994-06en_US
dc.identifier.citationLiang, Su, Shridhar, M., Ahmadi, M. (1994/06)."Segmentation of touching characters in printed document recognition." Pattern Recognition 27(6): 825-840. <http://hdl.handle.net/2027.42/31557>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V14-48MPPYC-205/2/24e3419952a5a766c1c0a93e9e16efcaen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/31557
dc.description.abstractA new discrimination function is presented for segmenting touching characters based on both pixel and profile projections. A dynamic recursive segmentation algorithm is developed for effectively segmenting touching characters. Contextual information and spell checking are used to correct errors caused by incorrect recognition and segmentation. Based on 12 real documents, a maximum 99.85% and a minimum 99.4% recognition accuracy is achieved.en_US
dc.format.extent1131760 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleSegmentation of touching characters in printed document recognitionen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelScience (General)en_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, U.S.A.en_US
dc.contributor.affiliationotherDepartment of Electrical Engineering, University of Windsor, Windsor, Ontario, Canada N9B 3P4en_US
dc.contributor.affiliationotherDepartment of Electrical Engineering, University of Windsor, Windsor, Ontario, Canada N9B 3P4en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/31557/1/0000484.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0031-3203(94)90167-8en_US
dc.identifier.sourcePattern Recognitionen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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