The invention provides a human face detection method and device, which belongs to the technical field of image recognition. The method comprises the steps that the position response feature map of a human face correction candidate area in an original image is acquired; the position response feature map is divided to acquire the corresponding number of squares, and the square type of all squares is distinguished according to the position of each square; the weight corresponding to each square type is determined according to the human face detection contribution degree corresponding to each square type; the area feature vector corresponding to the human face correction candidate area is calculated based on the feature vector and weight corresponding to each square; and based on the area feature vector, an area containing a human face in the original image is output. The influence of external conditions on detection results in complex scenes can be reduced by introducing the weights of different human face parts for different square types in the position response feature map. The accuracy of human face detection is high, and the applicability of human face detection is improved.