Dual-camera face living-body detection method based on thermal-imaging effect

A technology of living body detection and thermal imaging, applied in the fields of biological pattern recognition and image processing, can solve problems such as poor and time-consuming user experience, and achieve the effect of high speed and low hardware cost

Inactive Publication Date: 2018-11-06
JILIN UNIV
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  • Abstract
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Problems solved by technology

The biggest disadvantage of this method is that it requires the user to cooperate to complete several sets of random actions, which is very time-consuming and the user experience is poor.

Method used

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  • Dual-camera face living-body detection method based on thermal-imaging effect
  • Dual-camera face living-body detection method based on thermal-imaging effect
  • Dual-camera face living-body detection method based on thermal-imaging effect

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Embodiment Construction

[0033] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] During the implementation of the present invention, the real object has been processed, and its structure is as follows: figure 1 As shown, it includes 1-housing, 2-display screen, 3-low resolution 320x240 thermal imaging camera, 4-visible light 720p camera and 5-control rocker, wherein the control rocker is connected to the binocular camera by thread, and its The connection diagram is as follows figure 2 shown. The position of the binocular camera can be controlled by rotating the rocker up and down, so that people of different heights can use the machine of the invention. The joystick controls the two extreme positions of the two cameras (the shaking range is 30 degrees up and down) such as image 3 and Figure 4 shown.

[0035] The specific realization of the overall process is as follows: Figure 5 As shown, firstly,...

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Abstract

The invention relates to a dual-camera face living-body detection method based on thermal-imaging effect. The method is characterized by using the thermal-imaging effect as living-body features of a living-body face, and thus distinguishing between the living-body face and a non-living-body face through detecting whether a face region simultaneously meets three criteria of the thermal-imaging effect. The method comprises the following specific steps: collecting a photograph by a visible-light camera for face detection; locating a face position of the visible-light photograph, and collecting the face position in the photograph by a low-resolution thermal-imaging camera; carrying out image morphology processing and convex-hull detection on a face position of a thermal-imaging image; and judging whether the face position of the thermal-imaging image meets the three criteria of the thermal-imaging effect, determining the same as the living-body face if the three criteria are simultaneouslymet, and otherwise, determining the same as the non-living-body face. The method is suitable for use in face recognition and living-body authentication systems of access control attendance, site monitoring and the like, and has capability of preventing malicious cheating of photographs or videos on the systems.

Description

technical field [0001] The invention relates to a dual-camera human face living body detection method based on a thermal imaging effect, and belongs to the technical field of biological pattern recognition and image processing. technical background [0002] With the extensive development of face recognition technology, face recognition technology has been continuously applied to identity authentication systems such as access control attendance, facial recognition payment, criminal investigation, banking system and on-site monitoring. In order to improve the anti-spoofing ability of the face recognition system, the key technology is how to solve the problem of impostors using the same form of counterfeit features to deceive the system. The main sources of counterfeit features include three aspects: face photos, videos and face 3D models. [0003] Existing liveness detection applied to face recognition mainly includes the following three methods: [0004] Chinese patent CN103...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/166G06V40/165G06V40/172G06V40/45
Inventor 张红彦倪涛邹少元孔志飞刘海强缪海峰
Owner JILIN UNIV
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