Aiming at the problem of poor recognition rate of blurred face caused by long-distance shooting of surveillance cameras at present, a method for extracting the pulsation feature of rotational mean with orderly global structural characteristics is proposed. In this method, several sampling points are selected equally on each vertical line of the image according to the order from top to bottom, and the mean pulsation method is used for coding. Firstly, the average values of all non-zero pixels on each vertical line are calculated, and the pixel values and average values of selected sampling points are compared and coded in turn in order to generate an 8-bit binary number. The range of the decimal values is the same as the range of the pixel values. The decimal number is the characteristic value of the whole vertical line, so the texture feature information describing each vertical line is extracted. Texture image fusion feature information is extracted by combining image preprocessing with histogram normalization. The experimental results show that the proposed method obviously outperforms deep learning in the field of fuzzy face recognition.