Sciweavers

Share
ICPR
2002
IEEE

Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition

11 years 11 months ago
Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition
This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sensitivity analysis and neural network are employed to allow the use of a representative database to evaluate fitness and the use of a validation database to identify the subsets of selected features that provide a good generalization. Comprehensive experiments on the NIST database confirm the effectiveness of the proposed strategy.
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2002
Where ICPR
Authors Luiz E. Soares de Oliveira, Robert Sabourin, Flávio Bortolozzi, Ching Y. Suen
Comments (0)
books