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Shape-based image description is an important approach to Content-based Image Retrieval (CBIR). A variety of techniques are reported in the literature that aim to represent objects based on their shapes; each of these techniques has its advantages and disadvantages. Fourier Descriptor (FD), a simple yet powerful technique, has attractive properties such as rotational, scale, and translational invariance. In this paper we investigate this technique and present a novel shape registration method for extracting Fourier descriptors. When evaluated against Curvature Scale Space (CSS) and Zernike Moments (ZM) in shape-based image retrieval, the proposed technique exhibits superior performance.