In this paper, we address the problem of shape part recognition. For this purpose, we define a robust distance between shape parts based on geodesics in the shape space. The proposed distance uses an elastic shape matching to handle elastic deformations and compare shape parts locally. This distance is applied to shape part classification and shape part retrieval. An experimental study through the MPEG-7 shape database demonstrates that our proposed method outperforms existing schemes for shape part recognition.