A novel method for correcting the 2D calibration target is proposed. Firstly, we captured multiple images of the inaccurate calibration target from multi-views and located the coordinates of those circle landmarks in these images. Secondly, homonymous landmarks in different images could be detected by a scheme for a special topology relation. Thirdly, we could accurately reconstruct the 3D coordinates of landmarks with a scale constraint using bundle adjustment strategy. Finally, the scale was computed from an accurate distance between any two landmarks. Then we could obtain the true coordinates of landmarks, which multiplied by the scale. The experimental results validated that our method has the advantages of high-precision, low-cost and easy-implementation, which can be widely applied in vision measurement and system calibration.