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A multi-expert system for classifying unconstrained handwritten numerals

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A multi-expert system for classifying unconstrained handwritten numerals

Adel, Sam (1993) A multi-expert system for classifying unconstrained handwritten numerals. Masters thesis, Concordia University.

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Divisions:Concordia University > Faculty of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Adel, Sam
Pagination:x, 75 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:Theses (M.Comp.Sc.)
Program:Computer Science and Software Engineering
Date:1993
Thesis Supervisor(s):Suen, C. Y
ID Code:4583
Deposited By:Concordia University Libraries
Deposited On:27 Aug 2009 15:42
Last Modified:08 Dec 2010 10:39
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