A robust shape matching method is presented in this paper. An area based parameterization technique is designed for shape resampling. Then the parameterized summation invariant (PSI) is generated based on the resampled shape and summation invariant (SI). PSI which uses local parts of a shape to characterize the shape and can be calculated via integral operation is affine invariant and robust against noise. In order to improve the robustness of shape matching

prior information of PSI is analyzed to define a notion of distance between shapes based on feature regulating. The proposed distance measure can be implemented by dynamic programming. Experimental results show that the proposed method is valid.