MULTIPLE/PARALLEL HANDPRINTED DIGIT RECOGNITION

dc.contributor.author	Parker, J.R.	eng
dc.date.accessioned	2008-05-08T18:41:21Z
dc.date.available	2008-05-08T18:41:21Z
dc.date.computerscience	1999-05-27	eng
dc.date.issued	1995-04-01	eng
dc.description.abstract	The use of multiple classification algorithms applied to the same input can give higher accuracy classifications than using a single algorithm. This paper discusses three new schemes for classifying handprinted digits, and shows how to merge the results from the individual classifiers into a coherent single classification.	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	1995-556-8	eng
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/30946
dc.identifier.uri	http://hdl.handle.net/1880/46431
dc.language.iso	Eng	eng
dc.publisher.corporate	University of Calgary	eng
dc.publisher.faculty	Science	eng
dc.subject	Computer Science	eng
dc.title	MULTIPLE/PARALLEL HANDPRINTED DIGIT RECOGNITION	eng
dc.type	unknown
thesis.degree.discipline	Computer Science	eng