This paper presents a trade mark retrieval method in which the shape feature and spatial relationship are both used for the purpose of making full use of image info and improving retrieval precision. Since trade mark is artificial image and it usually consists of several geometric figures which have sharp edges

so we can look on trade mark as a combination of such regions. For these combinations

invariant moment is used to measure the shape similarity between two trade marks firstly and then the spatial relationship inside the combinations is matched by the way of project clustering. The method mentioned in the paper is just based on the idea

considering both the shape feature and spatial relationship of each part of trade mark at the same time. The whole retrieval process is then divided in two stages

i.e.

rough retrieve and refine retrieve. Since we take the two factors of trade mark into account simultaneously

so we can ensure the consistency in both the whole and local sides. Compared with the way of only using shape feature to retrieve images

the results of experiment show this method has higher precision and the output accords with people's visual feeling better.