An algorithm to improve the robustness of elastic matching in face recognition is proposed when it is strongly disturbed by the background.Automatic human face recognition has various applications.Elastic matching is an important face recognition algorithm

and it has higher robustness compared to other algorithms.But it also cannot deal with the disturbance from background effectively.The basic point of our algorithm is combining local information and global information together and using the local information undisturbed by the background to improve elastic matching algorithm.Experimental results demonstrate that the proposed method has improved the robustness of elastic matching.