Image matching is very important in image processing.The conventional matching methods are easily affected by occlusions

light and noises

which make the matching more complicated.In order to improve the robust performance of image matching

this paper proposes an orientation based robust Hausdorff distance for image matching.An edge detector based on the direction information is performed to get edge image.To achieve the promptness of image matching

EMR (edge matching rate）is introduced to determine which position can be the possible matching location

and further to construct a similarity measure based on the improved Hausdorff distance to find the correct location.The experimental results show that the proposed algorithm speeds up the matching process and it improves the resistance to noise.In addition

this method matches the image occlusions correctly and overcomes the mismatching problems that induced by noise

spurious edge segments and outlier points

which demonstrate that the proposed method is feasible and effective.