Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/13335
Title: Comparison of character recognition performance - bayes classifier and neural network methods
Authors: Low, Siew Eng.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
Issue Date: 1998
Abstract: 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'.
URI: http://hdl.handle.net/10356/13335
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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