Comparison of character recognition performance - bayes classifier and neural network methods

Comparison of character recognition performance - bayes classifier and neural network methods

In this project, two learning schemes had been tested and verified, in the recognition unit within the image processing environment of the Machine Vision Tool, namely the Bayes classifier method and the neural network-error back propagation gradient descent learning method. Their performances were a...

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Main Author: Low, Siew Eng.
Other Authors: Chan, Kap Luk
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
Online Access:http://hdl.handle.net/10356/13335
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-13335
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spelling sg-ntu-dr.10356-133352023-07-04T15:12:58Z Comparison of character recognition performance - bayes classifier and neural network methods Low, Siew Eng. Chan, Kap Luk School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing In this project, two learning schemes had been tested and verified, in the recognition unit within the image processing environment of the Machine Vision Tool, namely the Bayes classifier method and the neural network-error back propagation gradient descent learning method. Their performances were analysed and compared. Sometimes the algorithms, especially the Bayes classifier method, fail to distinguish between two characters that are inherently similar, such as 'S" and '5', 'B' and '8'. Master of Science (Computer Control and Automation) 2008-10-20T07:25:24Z 2008-10-20T07:25:24Z 1998 1998 Thesis http://hdl.handle.net/10356/13335 en 130 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
Low, Siew Eng.
Comparison of character recognition performance - bayes classifier and neural network methods
description In this project, two learning schemes had been tested and verified, in the recognition unit within the image processing environment of the Machine Vision Tool, namely the Bayes classifier method and the neural network-error back propagation gradient descent learning method. Their performances were analysed and compared. Sometimes the algorithms, especially the Bayes classifier method, fail to distinguish between two characters that are inherently similar, such as 'S" and '5', 'B' and '8'.
author2 Chan, Kap Luk
author_facet Chan, Kap Luk
Low, Siew Eng.
format Theses and Dissertations
author Low, Siew Eng.
author_sort Low, Siew Eng.
title Comparison of character recognition performance - bayes classifier and neural network methods
title_short Comparison of character recognition performance - bayes classifier and neural network methods
title_full Comparison of character recognition performance - bayes classifier and neural network methods
title_fullStr Comparison of character recognition performance - bayes classifier and neural network methods
title_full_unstemmed Comparison of character recognition performance - bayes classifier and neural network methods
title_sort comparison of character recognition performance - bayes classifier and neural network methods
publishDate 2008
url http://hdl.handle.net/10356/13335
_version_ 1772829159963230208

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