Method for identifying front of human face

Abstract

The invention discloses a method for identifying whether a human face is a front face. The method comprises the following steps: firstly, performing human face detection and two-eye positioning on a human face image to be identified; secondly, judging whether the positioned two eyes are horizontal, if not, turning the human face image to be identified; thirdly, capturing a corresponding part of the human face from a corresponding human face image to be identified according to the distance between the two horizontal eyes; fourthly, generating a mirror human face corresponding to the captured corresponding part of the human face; fifthly, calculating out the grey value of each corresponding pixel of the human face and the mirror human face to calculate out the difference between the two images; and finally, judging whether the human face contained in the human face image to be identified is the front face according to the difference, thus the right judgments on whether the human face tobe identified is the front face, a lateral face or has sidelight can be realized.

Description

technical field [0001] The invention relates to a method for identifying whether a human face is a front face. Background technique [0002] In face recognition, since the input face to be recognized is often not a standard front face, for example, it may be a side face or a face with side light, if it is not distinguished, it will be recognized according to the front face. It is very easy to cause a decline in the recognition rate, and even a recognition error may occur in severe cases. Therefore, how to effectively distinguish whether a human face is a frontal face or not has become a technical issue urgently to be solved by those skilled in the art. Contents of the invention [0003] The purpose of the present invention is to provide a method for identifying whether a human face is a frontal face, so as to effectively identify whether a human face is a frontal face, a side face or a side light. [0004] In order to achieve the above object, the method for identifying w...

AI Technical Summary

Problems solved by technology

[0002] In face recognition, since the input face to be recognized is often not a standard front face, for example, it may be a side face or a face with side light, if it is not distinguished, it will be recognized according to the front face. It can easily lead to a decline in the recognition rate, and in severe cases, even recognition errors may occur. Therefore, how to effectively distinguish whether a human face is a frontal face or not has become a technical problem to be solved urgently by those skilled in the art.

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