This paper proposed a feature extraction method based on the contourlet transform and Invariant moments.First it should be transformed using contourlet transform for analysis with multi scale and multi directional

and then extract the statistical characteristics and moment invariant features of the subband coefficient

constructed as feature vector.The feature vector is weighted according to the degrees of classificion

and the feature with higher classification ability has bigger weight

which are calculated to get some new feature vectors.At last

classify the extracted feature vectors by RBF Neural network which works as a classifier.The experimental results proved the effectiveness of the methods and the better classification ability.