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MULTIPLE/PARALLEL HANDPRINTED DIGIT RECOGNITION

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Author
Parker, J.R.
Accessioned
2008-05-08T18:41:50Z
Available
2008-05-08T18:41:50Z
Computerscience
1999-05-27
Issued
1996-10-01
Subject
Computer Science
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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.
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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
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University of Calgary
Faculty
Science
Doi
http://dx.doi.org/10.5072/PRISM/30947
Uri
http://hdl.handle.net/1880/46441
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