Title :
Feature selection using genetic algorithm and it´s application to face recognition
Author :
Harandi, M.T. ; Ahmadabadi, M.N. ; Araabi, B.N. ; Lucas, C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tehran Univ.
Abstract :
A new method for feature selection based on generic algorithm and its application in face recognition is proposed. Simulation results show the superior performance of the proposed algorithm over the eigenface original method. In comparison to evolutionary pursuit method, the proposed method has a faster training phase and the ability of finding and searching more features using our novel fitness function
Keywords :
face recognition; feature extraction; genetic algorithms; learning (artificial intelligence); face recognition; feature selection; fitness function; genetic algorithm; Analysis of variance; Application software; Character recognition; Face detection; Face recognition; Genetic algorithms; Humans; Intelligent control; Principal component analysis; Process control;
Conference_Titel :
Cybernetics and Intelligent Systems, 2004 IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-8643-4
DOI :
10.1109/ICCIS.2004.1460792
