Living body detection method and equipment

Abstract

The invention provides a living body detection method and equipment. The method comprises the following steps: detecting a face area in a video by utilizing a first neural network; determining actualposture representation of the face area by using a second neural network; comparing the actual attitude representation with a given attitude representation; and determining whether a living body exists in the video according to a comparison result.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a living body detection method and equipment. Background technique [0002] Liveness detection is a method to determine the real physiological characteristics of the object in some authentication scenarios. At present, most of them use face images to detect whether there is a living body in the video. [0003] The existing technology uses technologies such as face key point positioning and face tracking to detect the subject's combined actions such as blinking, opening the mouth, shaking the head, and nodding, so as to verify whether the user is operating by a real living person. The ability to resist attacks on plane and curved surfaces of existing technologies needs to be improved. Contents of the invention [0004] In view of this, the present invention provides a kind of live detection method, comprising: [0005] Using the first neural network to detect the face area in ...

AI Technical Summary

Problems solved by technology

The existing technology's ability to resist plane and curved surface attacks needs to be improved

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