Based on the analysis of license plates technique and the commonness of target detection, the feature selection
method based on vision salience is proposed. According to prior-sample training and minimum probability of error, feature
salience is obtained. In real license plate location, the more salient features are given the larger weights. Then, the system
fuses the multi-features to locate license plates. Experimental results show that the proposed method has better identify rate
than single feature.