An algorithm of target recognition using central changeless rules is not only time-consuming but also ineffective sometime.According to this problem,firstly a method of target recognition based on changeless rules and feature vectors is presented,this method has the advantages of both of them,so the characteristic special dimensions are reduced.Secondly the Euclidean distance among the feature vectors of matching templates is introduced,hence the algorithm complexity is decreased further,meanwhile the recognition velocity is increased.Finally the simulation proves that this method is effectual and efficient.