Robust handwriting recognition techniques
In this thesis, novel solutions to the construction of robust handwriting classifiers are proposed with a view in novel preprocessing, feature extractions and multi-experts classification to improve performance.
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2008
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Online Access: | http://hdl.handle.net/10356/2423 |
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Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-24232023-03-04T00:32:57Z Robust handwriting recognition techniques Chan, Patrick Khue Hiang. Erdogan, Sevki School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition In this thesis, novel solutions to the construction of robust handwriting classifiers are proposed with a view in novel preprocessing, feature extractions and multi-experts classification to improve performance. Doctor of Philosophy (SCE) 2008-09-17T09:02:40Z 2008-09-17T09:02:40Z 2001 2001 Thesis http://hdl.handle.net/10356/2423 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Chan, Patrick Khue Hiang. Robust handwriting recognition techniques |
description |
In this thesis, novel solutions to the construction of robust handwriting classifiers are proposed with a view in novel preprocessing, feature extractions and multi-experts classification to improve performance. |
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Erdogan, Sevki |
author_facet |
Erdogan, Sevki Chan, Patrick Khue Hiang. |
format |
Theses and Dissertations |
author |
Chan, Patrick Khue Hiang. |
author_sort |
Chan, Patrick Khue Hiang. |
title |
Robust handwriting recognition techniques |
title_short |
Robust handwriting recognition techniques |
title_full |
Robust handwriting recognition techniques |
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Robust handwriting recognition techniques |
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Robust handwriting recognition techniques |
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robust handwriting recognition techniques |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/2423 |
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1759856528429416448 |