Method for detecting human faces, device and remote teller machine system

Abstract

The present invention provides a method for detecting human faces, a device for detecting human faces and a remote teller machine system. The method includes the following steps that: an image pair to be recognized is acquired, wherein the image pair to be recognized includes two images to be recognized which are acquired by two cameras according to a human face to be recognized respectively; the depth information of the human face to be recognized is obtained according to the images to be recognized; a light spot pattern formed by the human face to be recognized under the illumination of an infrared structure is obtained; the texture information of the human face to be recognized is obtained according to the light spot pattern; and whether the human face to be recognized is a living body is determined based on the depth information and the texture information. The method, the device and the remote teller machine system have the advantages of low cooperation requirements, high speed and high security.

Description

technical field [0001] The invention relates to the field of face recognition, and more particularly relates to a method, device and remote teller machine system for detecting faces. Background technique [0002] At present, unattended automated identity verification systems have been widely used, such as bank remote video teller machines (VTM), community access control systems, etc. Using the identity verification system based on face recognition can solve the problems caused by manual discrimination and the use of IC cards and other media. Before face recognition, it is possible to first detect whether the collected face belongs to a living body. At present, there are two main methods of conventional liveness detection: using ordinary cameras to detect by cooperative random actions, and using the bright pupil effect to detect. But both approaches have their own problems. The detection method based on ordinary cameras requires the user to perform several random actions, ...

AI Technical Summary

Problems solved by technology

The detection method based on ordinary cameras requires the user to perform several random actions, which is difficult to cooperate and takes a long time, and it is not easy to identify attacks on masks, videos and paper photos

The detection method based on the bright pupil effect is easy to be attacked by various masks combined with devices that imitate pupils, and there are also security problems

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