Because pedestrians are easily affected by background,occlusion,posture and other issues in real scenes,in order to obtain more discriminative features in pedestrian images,a person re-identification method based on attention mechanism and local association feature is proposed.Firstly,the attention module is embedded in the network framework to pay attention to the features with strong expressive ability in the image.Then,the local association features are obtained by using the association of adjacent parts in the image,and combined with the global features.The experiments on Market1501 and DukeMTMC-ReID datasets show that the Rank-1 index reaches 95.3%and 90.1%,respectively.The results show that the proposed method can fully obtain the feature information with strong discrimination and make the model have strong recognition ability.