A New Feature Selection Method Based on CLA-EC in Face Recognition System
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Authors
Akhtar Hazrati Bishak
- Electrical, Computer and IT Engineering Department, Islamic Azad University of Ahar, AHAR, IRAN
Karim Faez
- Electrical Engineering Department, Amirkabir University of Technology, TEHRAN, IRAN, 15914
Morteza Hazrati Bishak
- Functional-Scientific University of Ahar
Abstract
Feature selection is an important stage in pattern recognition systems. In this paper we propose a new method based on Cellular Learning Automata- Computing Evolutionary (CLA-EC). The CLA-EC algorithm is an Evolutionary algorithm that is obtained combining from Cellular Learning Automata (CLA) and Computing Evolutionary concept (CA). In this method classification accuracy and number of unselected feature (zeros), considered as fitness function. My Experiments on ORL databases show the effectiveness of the proposed method in compare with Genetic algorithm.
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ISRP Style
Akhtar Hazrati Bishak, Karim Faez, Morteza Hazrati Bishak, A New Feature Selection Method Based on CLA-EC in Face Recognition System, Journal of Mathematics and Computer Science, 4 (2012), no. 2, 159--171
AMA Style
Hazrati Bishak Akhtar, Faez Karim, Hazrati Bishak Morteza, A New Feature Selection Method Based on CLA-EC in Face Recognition System. J Math Comput SCI-JM. (2012); 4(2):159--171
Chicago/Turabian Style
Hazrati Bishak, Akhtar, Faez, Karim, Hazrati Bishak, Morteza. "A New Feature Selection Method Based on CLA-EC in Face Recognition System." Journal of Mathematics and Computer Science, 4, no. 2 (2012): 159--171
Keywords
- Feature selection
- Cellular Learning Automata
- Computing Evolutionary
- Genetic algorithm
- face recognition.
MSC
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