Image processing method, device, computer equipment and storage medium

Abstract

The present application relates to an image processing method, device, computer equipment and storage medium. The method involves computer vision technology of artificial intelligence, and the method includes: performing living body detection on the global fusion image obtained by fusing the global frequency domain image corresponding to the image to be detected with the image to be detected to obtain the first detection result; when the first When the detection result indicates that the image to be detected belongs to a screen recapture image, it is determined that the image to be detected has not passed the liveness detection; otherwise, the biometric image is obtained based on the biological characteristics in the image to be detected, and the local frequency domain image corresponding to the biometric image is compared with the biometric Liveness detection is performed on the partially fused image obtained by feature image fusion to obtain a second detection result, and a living body detection result corresponding to the image to be detected is determined according to the first detection result and the second detection result. The solution provided by the present application can defend against the attacks of remake images of various scenes, and has higher accuracy and universality.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to an image processing method, device, computer equipment and storage medium. Background technique [0002] With the development of computer technology and artificial intelligence technology, in order to identify users more accurately and conveniently, living body detection technology has emerged. Liveness detection technology can use biometric information to verify whether the user is a real live operation, and can effectively resist common attack methods such as photos, face changes, masks, and occlusions. Liveness detection includes face liveness detection, palmprint liveness detection, and iris liveness detection. etc. [0003] At present, due to the fact that there may be many different types of attacks in real life, the texture features of some attack images are not so obvious, and even the naked eye is difficult to distinguish according to the textu...

AI Technical Summary

Problems solved by technology

[0003] At present, due to the fact that there may be many different types of attacks in real life, the texture features of some attack images are not so obvious, and even the naked eye is difficult to distinguish according to the texture of the attack images, so that only a single image texture information The generalization of the detection method on different types of attack images is poor, and the detection accuracy is low

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