Because pedestrians are easily affected by background,occlusion,postu re and other issues in real scenes,in order to obtain more discriminative features in pedestrian ima ges,a person re-identification method based on attention mechanism and local association fea ture is proposed. Firstly,the attention module is embedded in the network framework to pay attent ion 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 feat ures.The experiments on Market1501 and DukeMTMC-ReID datasets show that the Rank-1 inde x reaches 95.3%and 90.1%,respectively.The results show that the proposed method can full y obtain the feature information with strong discrimination and make the model have strong re cognition ability.