Aiming to improve the point pattern matching accuracy with graphical models, an improved point pattern matching algorithm is proposed using dynamic generating graphical model. First, mixed Gaussian distribution is applied in similarity measure of dynamic generating graphical model to improve the multi-feature ability of model，which make the matching results more robust to noise. Second, a dummy point is introduced in the target point set and the similarity measure including the dummy point is provided. A point in the template would match the dummy point when the similarity measure of a template point with a target point is less than that of the template point and the dummy point, which can reduce the mismatching rate caused by outliers. Experimental results with simulated and real images show that the proposed algorithm is more robust to noise and outlier, and compared with the traditional methods, matching accuracy is improved.