It represents the coarse- and fine-grained shape topological and geometrical features.

It improves the stability of skeleton pruning without human interaction.

It considers both global and fine shape properties by different potential functions.

It achieves a better performance than most existing methods on six datasets.

Experiments attest our method a better performance than most related approaches.

We achieve a 99.21% bulls-eye score on the MPEG7 shape dataset.