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.
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