DocumentCode
3448200
Title
A hybrid GA and SA algorithms for feature selection in recognition of hand-printed Farsi characters
Author
Azmi, Reza ; Pishgoo, Boshra ; Norozi, Narges ; Koohzadi, Maryam ; Baesi, Fahimeh
Author_Institution
Dept. Of Comput., Alzahra Univ., Tehran, Iran
Volume
3
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
384
Lastpage
387
Abstract
In this research a hybrid feature selection technique based on genetic and simulated annealing algorithms is proposed. this approach is evaluated by using Bayesian classifier on a dataset of hand-printed Farsi characters which includes 100 samples for each 33 hand-printed characters. The acquired results have been improved by correction of Simulated Annealing through considering two minimum and maximum thresholds.
Keywords
belief networks; character recognition; genetic algorithms; handwritten character recognition; pattern classification; simulated annealing; Bayesian classifier; character recognition; genetic algorithm; hand-printed Farsi character; hybrid feature selection technique; simulated annealing; Biological cells; Character recognition; Classification algorithms; Gallium; Simulated annealing; Genetic Algorithm; Simulated Annealing; feature selection; pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-6582-8
Type
conf
DOI
10.1109/ICICISYS.2010.5658728
Filename
5658728
Link To Document