Living body detection method and device, electronic equipment and storage medium

Abstract

The invention discloses a living body detection method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining an image frame in a video in real time when itis determined that a living body detection starting condition is met; Identifying at least one organ area of a user in the image frame, wherein one organ area corresponds to at least one characteristic value set; If it is determined that each organ region identified in the target image frame meets an unshielded condition, respectively calculating feature values which are identified in the targetimage frame and are matched with each organ region, and updating and storing the feature values into a corresponding feature value set; And detecting at least one target action condition of the characteristic value set in real time, and determining whether the user is a living body or not according to a detection result of each target action condition when determining that a living body detectionending condition is met. According to the embodiment of the invention, the living body can be accurately identified, and the safety of identity authentication is improved.

Description

technical field [0001] Embodiments of the present disclosure relate to image processing technologies, and in particular, to a living body detection method, device, electronic equipment, and storage medium. Background technique [0002] When people are engaged in various activities, they often need to carry out identity authentication, so as to ensure the security of information. With the development of computers and networks, the popularity of networked electronic devices has made the identity authentication work more efficient. Usually, identity authentication needs to determine that the subject is a living body. [0003] At present, liveness judgment is often required in financial systems and face recognition systems. In this process, the user is generally required to complete basic facial movements. For example, the blinking action. The existing technology mainly determines whether the user is a live user by detecting the changes in the posture parameters of the facial...

AI Technical Summary

Problems solved by technology

[0004] However, the above methods are easily attacked by photos. For example, through a photo of a legitimate user with eyes closed, a black pen is quickly placed on the user's eyes and then left quickly to simulate the legitimate user's eye-closing action, resulting in the user's photo Misjudged as a live body, the accuracy of the live body detection cannot be guaranteed, and the security of identity authentication is reduced

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