DocumentCode
344097
Title
Automatic self-configuration of a novel multiple-expert classifier using a genetic algorithm
Author
Rahman, A.F.R. ; Fairhurst, M.C.
Author_Institution
Kent Univ., Canterbury, UK
Volume
1
fYear
1999
fDate
36342
Firstpage
57
Abstract
A novel self-configurable multiple expert classifier is introduced. A genetic algorithm has been employed to automate the process of optimisation in terms of structural configuration. Application of this concept of self-configuration has produced very promising results in recognising a database of machine printed characters by the proposed multiple expert configuration
Keywords
image classification; automatic self-configuration; genetic algorithm; machine printed characters database; multiple expert configuration; multiple-expert classifier; optimisation; structural configuration;
fLanguage
English
Publisher
iet
Conference_Titel
Image Processing And Its Applications, 1999. Seventh International Conference on (Conf. Publ. No. 465)
Conference_Location
Manchester
ISSN
0537-9989
Print_ISBN
0-85296-717-9
Type
conf
DOI
10.1049/cp:19990281
Filename
791350
Link To Document