Based on the analysis of chain code in shape representation, two novel shape descriptors, named chain code distribution vector and chain code coherence vector, are introduced to express the spatial feature in the chain code. These two descriptors have the advantages of being invariant to the position, rotation and scaling of the image content and have nothing to do with the start point of the chain code. Combined with chain code histogram, two different matching methods are presented to measure the similarity of shape information. It is clear that both the statistical feature and the spatial feature of the chain code are considered in the new methods. Experiment results show that our methods give better performance than the traditional methods.