A face recognition method is disclosed. First, an input image is received. After the input image is received, face recognition is performed on the input image by using a first CNN model to generate at least one first ROI, where each first ROI includes a suspicious image, and a proportion value of a pixel value of the suspicious image in a pixel value of the first ROI is greater than a proportion value of the pixel value of the suspicious image in a pixel value of the input image. Then, face recognition is performed on each first ROI by using a second CNN model to generate at least one second ROI, where the quantity of convolution operation layers of the second CNN model is less than the quantity of convolution operation layers of the first CNN model. Finally, a mark is displayed in the input image.