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Combination of multiple classifiers for the recognition of totally unconstrained handwritten numerals

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Combination of multiple classifiers for the recognition of totally unconstrained handwritten numerals

Huang, Yea-Shuan (1994) Combination of multiple classifiers for the recognition of totally unconstrained handwritten numerals. PhD thesis, Concordia University.

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Abstract

Uses a new approach, called the "Combination of multiple experts", to the problem of recognition of handwritten numerals. This thesis focuses on methodologies which leads to effective decision combination schemes.

Divisions:Concordia University > Faculty of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (PhD)
Authors:Huang, Yea-Shuan
Pagination:xxi, 248 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:Theses (Ph.D.)
Program:Computer Science and Software Engineering
Date:1994
Thesis Supervisor(s):Suen, C. Y
ID Code:2732
Deposited By:Concordia University Libraries
Deposited On:27 Aug 2009 15:20
Last Modified:08 Dec 2010 10:28
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