STROKE EXTRACTION FOR HANDPRINTED CHARACTER RECOGNITION

dc.contributor.author	Parker, J.R.	eng
dc.date.accessioned	2008-05-08T18:41:24Z
dc.date.available	2008-05-08T18:41:24Z
dc.date.computerscience	1999-05-27	eng
dc.date.issued	1995-04-01	eng
dc.description.abstract	Many 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.notes	We 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.ca	eng
dc.identifier.department	1995-557-9	eng
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/30955
dc.identifier.uri	http://hdl.handle.net/1880/46432
dc.language.iso	Eng	eng
dc.publisher.corporate	University of Calgary	eng
dc.publisher.faculty	Science	eng
dc.subject	Computer Science	eng
dc.title	STROKE EXTRACTION FOR HANDPRINTED CHARACTER RECOGNITION	eng
dc.type	unknown
thesis.degree.discipline	Computer Science	eng