Abstract: In order to solve the scaling,rotation and local changes in the trademark image retrieval.A method of trademark retrieval based on pulse coupled neural network (PCNN) model is proposed in this paper.First an effective image preprocessing algorithm,which reduces the influence of trademark gray distribution difference by the trademark color,is presented by combining PCNN image segmentation and the histogram equalization technology.Then the edge time sequence concept,which is used to describe the distribution characteristics of trademark images regional edge in space,is put forward based on PCNN model,and finally achieve the trademark images quickly effective retrieval.We proceed to the computer simulation based on the trademark repository,simulation results show that this method can be entirely accurate to retrieve the corresponding trademark image,so the method has great resistance to color trademark transformation,rotation,local shape changes and good retrieval performance.