Segmentation of touching characters in printed document recognition
dc.contributor.author | Liang, Su | en_US |
dc.contributor.author | Shridhar, M. | en_US |
dc.contributor.author | Ahmadi, M. | en_US |
dc.date.accessioned | 2006-04-10T18:07:43Z | |
dc.date.available | 2006-04-10T18:07:43Z | |
dc.date.issued | 1994-06 | en_US |
dc.identifier.citation | Liang, 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.uri | http://www.sciencedirect.com/science/article/B6V14-48MPPYC-205/2/24e3419952a5a766c1c0a93e9e16efca | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/31557 | |
dc.description.abstract | A 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.extent | 1131760 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Segmentation of touching characters in printed document recognition | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Science (General) | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, U.S.A. | en_US |
dc.contributor.affiliationother | Department of Electrical Engineering, University of Windsor, Windsor, Ontario, Canada N9B 3P4 | en_US |
dc.contributor.affiliationother | Department of Electrical Engineering, University of Windsor, Windsor, Ontario, Canada N9B 3P4 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/31557/1/0000484.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0031-3203(94)90167-8 | en_US |
dc.identifier.source | Pattern Recognition | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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