A human face living detection method in vivo based on binocular camera
A binocular camera and living body detection technology, which is applied to computer parts, instruments, characters and pattern recognition, etc., can solve the problems of low recognition effect and poor real-time performance, achieve high real-time performance, solve recognition scene problems, and high detection The effect of accuracy
Active Publication Date: 2019-02-19
西安第六镜网络科技有限公司
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[0004] To this end, the embodiment of the present invention provides a face detection method based on a binocular camera to solve the problem of low recognition effect and poor real-time performance caused by the inability of the existing face recognition technology to directly and accurately distinguish between living and non-living faces. question
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[0021] The implementation mode of the present invention is illustrated by specific specific examples below, and those who are familiar with this technology can easily understand other advantages and effects of the present invention from the contents disclosed in this description. Obviously, the described embodiments are a part of the present invention. , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0022] This embodiment provides a face detection method based on a binocular camera, refer to figure 1 , the specific steps include:
[0023] S1: Use binocular cameras to collect scene images in the recognition area in real time;
[0024] S2: Detect whether the collected scene image contains a face image, if it does not contain the face image, continue to maintain the scene image real-time acqu...
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The embodiment of the invention discloses a human face living detection method based on a binocular camera, which relates to the technical field of biometric identification. The method comprises the following steps: using a binocular camera to perform real-time collection of scene images of an identified area; detecting whether a face image is included in the collected scene image, continuing to maintain a scene image real-time acquisition mode if the face image is not included, and judging the attribute of the face image if the face image is included; according to the judgment results, performing face recognition or returning to real-time scene image acquisition mode. The invention can solve the problem that the prior face recognition technology cannot be directly and accurately distinguish living face from non-living face leads to low recognition efficiency and poor real-time performance, can greatly improves the accuracy of human face detection, but also meets the real-time requirements in the detection time, so that the entire detection process does not require user action cooperation, so that the application scene of live detection is more extensive and efficient.
Description
technical field [0001] The embodiment of the present invention relates to the technical field of biometric feature recognition, and in particular to a method for detecting human face liveness based on a binocular camera. Background technique [0002] With the gradual maturity of the application of biometric technology, face recognition has become a relatively common individual identification method at present, and it is applied in various scenarios. With the gradual widening of applications, the security of face recognition has also been severely challenged. For example, most residential areas adopt face recognition access control, and users can enter by swiping their faces. However, the current face recognition technology is mainly based on human Recognition of facial features cannot distinguish the difference between face entities, photos and 3D masks. Therefore, how to distinguish whether the face to be recognized is a real live face has become a problem worthy of attenti...
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Login to View More IPC IPC(8): G06K9/00G06K9/20
CPCG06V40/166G06V10/147
Inventor 刘闯陈诗昱
Owner 西安第六镜网络科技有限公司