The invention discloses a template matching method based on the global features of a scene, which is used for inspecting similar objects in images according to a target template. The method comprises the following steps: extracting searching subgraphs which are within the same template images range from ergodic per-pixel of scene images; counting the relevance of each searching subgraph and the template image; selecting candidate objective pixels according to the standard that the higher the relevance of one searching subgraph and the template image is, the larger possibility for the ergodic pixel corresponding to the searching subgraph to be an objective pixel is; and determining the final objective pixel from the candidate objective pixels. The invention is characterized in that the method counts the relevance of the searching subgraphs and the template image by utilizing the global features, and the global features are obtained by putting the relevance of the templates and the subgraphs behind the scene and then counting the features of the whole scene, as features of the whole scene with certain semantic information, thereby improving the accuracy of target detection.