Living body identification method, storage medium and terminal equipment

Abstract

The invention discloses a living body identification method, a storage medium and terminal equipment. The living body identification method comprises the steps of: providing to-be-identified image data which comprises continuous N frames of to-be-identified images, wherein N is a positive integer greater than 1; acquiring a chrominance signal corresponding to each frame of to-be-identified image by means of a RGB signal of the image; carrying out Fourier transform on the chrominance signals to obtain N frequency domain sequences, performing recurrent neural network analysis on the N frequencydomain sequences through using a network, and acquiring heartbeat data through iteration; judging whether the heartbeat data exceeds a preset heartbeat threshold range or not, and if so, judging thatthe to-be-identified image data does not contain a living body; and when judging that the heartbeat data does not exceed the preset heartbeat threshold range, judging whether moire patterns exist in the to-be-identified image data or not, and if so, judging that the to-be-identified image data does not contain a living body, otherwise, judging that the to-be-identified image data contains a livingbody. The living body identification method solves a problem that a living body identification method in the prior art is not accurate enough.

Description

technical field [0001] The invention relates to the field of security technology, in particular to a living body recognition method based on a common camera, a storage medium and a terminal device. Background technique [0002] At present, a large number of financial or security systems use face photos taken by network cameras for remote monitoring, which not only improves the accuracy of face recognition, but also saves a lot of manpower and material resources. However, the fraudulent behavior of uploading false pictures through remakes of face photos or videos has also attracted widespread public attention. Therefore, face liveness detection, as an important security authentication measure, is widely used in finance, security and other fields. Due to the bright application prospects, the widely used biopsy detection technology has also attracted attention in recent years. However, the existing face liveness detection not only requires high equipment, but also the detecti...

AI Technical Summary

Problems solved by technology

[0004] In view of the above deficiencies in the prior art, the purpose of the present invention is to provide a living body identification method, a

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