STROKE EXTRACTION FOR HANDPRINTED CHARACTER RECOGNITION

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dc.contributor.authorParker, J.R.eng
dc.date.accessioned2008-05-08T18:41:24Z
dc.date.available2008-05-08T18:41:24Z
dc.date.computerscience1999-05-27eng
dc.date.issued1995-04-01eng
dc.description.abstractMany structural pattern recognition methods use straight line segments as features. Others depend on the ability to identify a stroke, or a curve drawn with a single pen down and a single pen up motion. Here a method is presented for identifying linear strokes that does not depend on a structural thinning step. It can be used for character and symbol recognition, and the features can be connected to form curves.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department1995-557-9eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30955
dc.identifier.urihttp://hdl.handle.net/1880/46432
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleSTROKE EXTRACTION FOR HANDPRINTED CHARACTER RECOGNITIONeng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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