Handwriting recognition using high performance computing platforms

Investigation on the feasibility of various character features extracted for handwritten character recognition are comprehensively benchmarked and many variants classifiers using neural network technologies are described. Extensive coverage of preprocessing techniques are listed and illustrated. Neu...

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Main Author: Chan, Khue Hiang.
Other Authors: Ng, Geok See
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/20433
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-20433
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spelling sg-ntu-dr.10356-204332020-09-27T20:15:17Z Handwriting recognition using high performance computing platforms Chan, Khue Hiang. Ng, Geok See School of Applied Science DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Investigation on the feasibility of various character features extracted for handwritten character recognition are comprehensively benchmarked and many variants classifiers using neural network technologies are described. Extensive coverage of preprocessing techniques are listed and illustrated. Neural network technologies in particular, the backpropagation neural network are extensively reviewed and studied in the context of learning problems in handwriting recognition. The use of post-processor techniques and multi-neural network architectures in character recognition are also presented. Master of Applied Science 2009-12-15T02:59:32Z 2009-12-15T02:59:32Z 1997 1997 Thesis http://hdl.handle.net/10356/20433 en NANYANG TECHNOLOGICAL UNIVERSITY 236 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Chan, Khue Hiang.
Handwriting recognition using high performance computing platforms
description Investigation on the feasibility of various character features extracted for handwritten character recognition are comprehensively benchmarked and many variants classifiers using neural network technologies are described. Extensive coverage of preprocessing techniques are listed and illustrated. Neural network technologies in particular, the backpropagation neural network are extensively reviewed and studied in the context of learning problems in handwriting recognition. The use of post-processor techniques and multi-neural network architectures in character recognition are also presented.
author2 Ng, Geok See
author_facet Ng, Geok See
Chan, Khue Hiang.
format Theses and Dissertations
author Chan, Khue Hiang.
author_sort Chan, Khue Hiang.
title Handwriting recognition using high performance computing platforms
title_short Handwriting recognition using high performance computing platforms
title_full Handwriting recognition using high performance computing platforms
title_fullStr Handwriting recognition using high performance computing platforms
title_full_unstemmed Handwriting recognition using high performance computing platforms
title_sort handwriting recognition using high performance computing platforms
publishDate 2009
url http://hdl.handle.net/10356/20433
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