Feature selection is a very difficult problems for mode recognition system.For high dimension data

the modified particle swarm optimization（PSO） algorithm was effectively and quickly applied to the feature extraction of the optimum samples.The optimum samples were recognized by the support vector machine classifier

which is checked how to use the feature selection.Experimental results on the database show this method can guarantee the correct rate of classification and improve the efficiency of feature selection.