Dynamic time warping(DTW) is an important similarity measure method, which supports a variety of deformation of time series and has high matching precision. However, the method has high computational complexity, which restricts its application in similarity search. In order to balance the contradiction between the matching precision and the computational efficiency, a filtering search method is proposed. Firstly, a lower-bounding distance for DTW is constructed, and it is used in the filtering search to obtain the candidate set. Then, the early abandon strategy is used in the candidate set to achieve the search results. Finally, the proposed method is verified by experiments. The results show that it can improve the similarity search efficiency under DTW and guarantee no false dismissal.