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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Bibliographic Details
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
Description
Summary: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'.

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