Facial recognition and discrimination method and device and computer device

Abstract

The invention provides a facial recognition and discrimination method comprising the steps of acquiring a facial motion image sequence of a user preset motion; judging whether a smear occurs in the facial motion image sequence; and if yes, determining that the user is a pseudo user. According to the method, the characteristics that the smear is formed when a display screen plays a video attack areutilized; when a facial recognition device is deceived and a motion is played on the screen, as the display screen is formed by pixel points, the smear is formed during pixel conversion. In the facial recognition and discrimination method, the smear is captured and utilized to be the facial motion of a normal real person, so that the goal of facial recognition discrimination can be achieved. Thereal human face can be recognized during facial recognition, and the faking of the human face by adopting high resolution photos, videos, and realistic face 3D masks or video sequences is avoided.

Description

technical field [0001] The invention relates to the technical field of biometric information identification, in particular to a method and device for face identification and identification of fakes, and computer equipment. Background technique [0002] In recent years, face recognition technology has developed by leaps and bounds, and it has higher stability in response to changes in posture, lighting and expression. This has also prompted more and more occasions to use face recognition technology for identity authentication. However, the face recognition system can only recognize the faces in the collected images, but cannot identify whether the collected face images are from a real person in front of the camera or a photo. Therefore, the identification system is extremely vulnerable to various deliberate attacks. Once these attacks are successful, the consequences and losses may be extremely serious. In order to solve this problem, face discrimination technology, also k...

AI Technical Summary

Problems solved by technology

However, using image texture to distinguish between real and fake faces also has its disadvantages: this method is helpless for high-resolution photos, videos, and three-dimensional masks of realistic faces.

However, the method of detecting human face biological activity (blinking, opening mouth, etc.) also has its disadvantages: the video sequence can simulate the biological activity of human face blinking and opening mouth, so the way of video playback can easily escape the eyes of this method

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