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For the conventional image recognition methods, this paper proposes a recognition method of image sensitive objects which improves the limitations of present approaches. This method gives each object in the image a precise sensitivity value. Then it extracts the texture, color, shape and salient features of image object. Finally, according to the sensitivity values, it identifies the objects with large sensitivity value in the image and compares with the classical methods of sensitivity detection. Experimental results show the proposed method loses less sensitive information and can obtain more accurate image object sensitivity value and identify the objects of interest of the human eyes by different sensitivity values.