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
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;
Conference_Titel :
Image Processing And Its Applications, 1999. Seventh International Conference on (Conf. Publ. No. 465)
Conference_Location :
Manchester
Print_ISBN :
0-85296-717-9
DOI :
10.1049/cp:19990281
