Human face living body detection method and device based on infrared image

Abstract

The invention relates to a human face living body detection method and device based on an infrared image, computer equipment and a storage medium. The method comprises the steps of obtaining a face infrared image of an area where a face is located from an infrared image containing a face object; acquiring a face minimum region image, a lip part region image and a cheek part region image from the face infrared image according to the position and distance relationship of the face key points in the face infrared image; wherein the face key points at least comprise a left eye pupil, a right eye pupil, a nose tip, a left mouth corner and a right mouth corner; respectively sending the obtained face minimum region image, lip part region image and cheek part region image into deep convolutional neural networks trained by respective images to carry out binary classification detection; and if the three detection results are living bodies, judging that the human face object in the current infrared image is a living body. By adopting the method, the accuracy of living body detection can be improved.

Description

technical field [0001] The present application relates to the technical field of face recognition, and in particular to a face detection method, device, computer equipment and storage medium based on infrared images. Background technique [0002] In the current living body detection technology, in order to prevent prosthetic attacks such as 3D head models and headgears, a large amount of information contained in depth images, near-infrared images, and color images is usually used to send them to a deep convolutional neural network for further processing. Judgment of living and non-living. [0003] However, color images are easily affected by light. In some scenarios, the face imaging is poor, and a living person is judged as non-living. This makes the user unable to pass the verification, resulting in abnormal functions. If the color image is not used, a large amount of information contained in the color image will be lost during the detection process. Then when the face is...

AI Technical Summary

Problems solved by technology

[0003] However, color images are easily affected by light. In some scenes, the face imaging is poor, and a living person is judged as a non-living person. This makes the user unable to pass the verification, resulting in abnormal functions.

If the color image is not used, a large amount of information contained in the color image will be lost during t

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