Transfer learning focuses on solving learning tasks in the target domain by leveraging the useful information in the target domain. Therefore, a novel transfer classification learning algorithm called CC-TSVM is proposed, which is based on SVM learning framework. CC-TSVM firstly adopts SVC to get the hyperplane for the source domain and then corrects the obtained hyperplane as the hyperplane for the target domain by using SVR with the constraints for the labeled data in the target domain. The experimental results on artificial and real datasets show that the proposed algorithm has high classification accuracy and can well leverage the useful information in the source domain.