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Living body detection method and system based on near-infrared monocular camera shooting

A living body detection, near-infrared technology, applied in deception detection, acquisition/recognition of facial features, instruments, etc., can solve the problems of poor robustness and high cost, and achieve the effect of preventing attacks, avoiding attacks, and reducing system cost and power consumption.

Active Publication Date: 2019-07-05
CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI +1
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Problems solved by technology

[0007] In view of the above existing problems in the prior art, the present invention proposes a living body detection method and system based on near-infrared monocular imaging, which mainly solves the poor robustness of the prior art and high cost

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  • Living body detection method and system based on near-infrared monocular camera shooting

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Embodiment Construction

[0040] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0041] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the compo...

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Abstract

The invention provides a living body detection method based on near-infrared monocular camera shooting. The living body detection method comprises the following steps: acquiring near-infrared image information; detecting whether the near-infrared image contains a human face or not, and if the human face is not detected, judging that a recognition object is a non-real person; if the human face is detected, prompting a user to make an appointed expression action; extracting optical flow characteristics of the expression actions, and extracting facial image depth characteristics of the near-infrared image at the same time; inputting the optical flow characteristics and the deep characteristics of the face image into a deep learning classifier; obtaining a face recognition result; according tothe method, video and three-dimensional mask attacks can be effectively prevented, and the living body detection accuracy is improved.

Description

technical field [0001] The invention relates to the field of security identification, in particular to a living body detection method and system based on near-infrared monocular imaging. Background technique [0002] In recent years, the commercial application of face recognition technology has become more and more widespread. However, it is very easy to use photos, videos, three-dimensional masks, etc. to fake faces. Therefore, face liveness detection is an important issue in the security of face recognition and authentication systems. From the perspective of the types of image acquisition equipment for live detection, the current common live detection is mainly two types of visible light image acquisition and multi-spectral image acquisition, among which multi-spectral image acquisition includes near-infrared, far-infrared, thermal infrared and other imaging equipment; from In terms of the implementation methods of liveness detection, there are interactive liveness detecti...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/166G06V40/174G06V40/168G06V40/172G06V40/45
Inventor 张宇邵枭虎蒋方玲周祥东石宇刘鹏程
Owner CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
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