This paper presented a traffic sign recognition algorithm based on SVM(support vector machine).The algorithm used the color and shape features of traffic signs to locate and divide traffic signs in the mages.Then, extracted eigenvalues of traffic signs by Hu invariant moments.Finally,eigenvalues were inputed to SVM.and recongized traffic signs by SVM which has good learning and generalization ability.The experiment results show high detection accuracy for traffic signs.