Recognition of ambiguous pairs of totally unconstrained handwritten numerals

In order to improve the recognition rate of totally unconstrained handwritten numerals, a verification stage is added after classification to distinguish the ambiguous numerals between two or more classes. Two recognition methods, structural method and statistical method, are used to overcome the li...

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Main Author: Tan, Yu
Format: Others
Published: 2002
Online Access:http://spectrum.library.concordia.ca/1584/1/MQ68480.pdf
Tan, Yu <http://spectrum.library.concordia.ca/view/creators/Tan=3AYu=3A=3A.html> (2002) Recognition of ambiguous pairs of totally unconstrained handwritten numerals. Masters thesis, Concordia University.
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-QMG.15842013-10-22T03:41:54Z Recognition of ambiguous pairs of totally unconstrained handwritten numerals Tan, Yu In order to improve the recognition rate of totally unconstrained handwritten numerals, a verification stage is added after classification to distinguish the ambiguous numerals between two or more classes. Two recognition methods, structural method and statistical method, are used to overcome the limitations of a single method and deliver a much more reliable recognition system. The recognition rate is 71.32% using structural method without verification. The verification stage improves the recognition rate from 71.32% to 87.50%. After combining the structural method with statistical method, the final recognition rate reached up to 95.59% 2002 Thesis NonPeerReviewed application/pdf http://spectrum.library.concordia.ca/1584/1/MQ68480.pdf Tan, Yu <http://spectrum.library.concordia.ca/view/creators/Tan=3AYu=3A=3A.html> (2002) Recognition of ambiguous pairs of totally unconstrained handwritten numerals. Masters thesis, Concordia University. http://spectrum.library.concordia.ca/1584/
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format Others
sources NDLTD
description In order to improve the recognition rate of totally unconstrained handwritten numerals, a verification stage is added after classification to distinguish the ambiguous numerals between two or more classes. Two recognition methods, structural method and statistical method, are used to overcome the limitations of a single method and deliver a much more reliable recognition system. The recognition rate is 71.32% using structural method without verification. The verification stage improves the recognition rate from 71.32% to 87.50%. After combining the structural method with statistical method, the final recognition rate reached up to 95.59%
author Tan, Yu
spellingShingle Tan, Yu
Recognition of ambiguous pairs of totally unconstrained handwritten numerals
author_facet Tan, Yu
author_sort Tan, Yu
title Recognition of ambiguous pairs of totally unconstrained handwritten numerals
title_short Recognition of ambiguous pairs of totally unconstrained handwritten numerals
title_full Recognition of ambiguous pairs of totally unconstrained handwritten numerals
title_fullStr Recognition of ambiguous pairs of totally unconstrained handwritten numerals
title_full_unstemmed Recognition of ambiguous pairs of totally unconstrained handwritten numerals
title_sort recognition of ambiguous pairs of totally unconstrained handwritten numerals
publishDate 2002
url http://spectrum.library.concordia.ca/1584/1/MQ68480.pdf
Tan, Yu <http://spectrum.library.concordia.ca/view/creators/Tan=3AYu=3A=3A.html> (2002) Recognition of ambiguous pairs of totally unconstrained handwritten numerals. Masters thesis, Concordia University.
work_keys_str_mv AT tanyu recognitionofambiguouspairsoftotallyunconstrainedhandwrittennumerals
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