Face image correcting method

Abstract

The invention provides a correction method for human face picture. The size of a face-collection frame is preset firstly and then the face-collection frame is used for face collection of a taken picture, the position of the two eyes of the human face picture in the face-collection frame can be determined, angle of the two eyes deviated from horizontal direction can be determined according to the position of the two eyes for corresponding correction, at last the ratio of the occupied area of the human face picture in the face-collection frame and the area of the face-collection frame can be calculated after correction, moreover, whether the ratio is in the preset scope can be determined; if no, the device of taking picture can be adjusted in correspondence to realize correction of the taken human face picture so that the human face picture can always be positive and has no inclination and the taken picture can meet the preset standard.

Description

technical field [0001] The invention relates to a face image correction method. Background technique [0002] At present, there are the following requirements for various types of ID photos: [0003] a) The captured face image must be frontal and cannot be tilted. [0004] b) The ratio of the area occupied by the captured face image to the area occupied by the entire photo should be within a limited range, so as to ensure that the face in the photo is neither too large nor too small. [0005] c) The position of the captured face image in the photo should be centered left and right, slightly above. [0006] However, the existing camera system does not have the function of automatically capturing face images. Operators often manually draw the frame to capture the face image in the lens. This can easily lead to the difficulty of accurately determining the ratio of the face area to the entire face frame. Grasp; have again, existing photographing system also does not possess t...

AI Technical Summary

Problems solved by technology

[0006] However, the existing camera system does not have the function of automatically capturing face images. Operators often manually draw the frame to capture the face image in the lens. This can easily lead to the difficulty of accurately determining the ratio of the face area to the entire face frame. Grasp; have again, existing photographing system also does not possess the function of automatically measuring the degree of inclination of face image, is difficult to carry out automatic correction to the image of inclination especially, and can not accurately prompt to the inclination angle of the photo that contains human face, thus , only relying on human eyes to observe whether the image is tilted will lead to large errors, and it is difficult to take qualified and standard ID photos

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