Image feature matching plays an essential role in the field of image information processing, which has been commonly used in image mosaic, three-dimensional reconstruction, visual motion calculation, and other related fields. In order to increase the matching accuracy of image feature matching, an image feature point matching method based on inertial navigation is proposed to be better adapted to the cases of dynamic scene and repeated texture. To begin with, the ORB(Oriented FAST and Rotated BRIEF) features is extracted from the first and second frames. After that, the data of the inertial measurement unit is used to decide the motion of the camera and also to locate where the feature points in the first frame may appear in the second frame. Finally, the matching result of the first two frames is obtained by matching the corresponding feature points in the first and second frames. The experimental results demonstrate that the matching accuracy of this method can reach up to 92%, which has significantly improve the accuracy of image feature matching.