Living body detection method, device and storage medium

A living body detection and living body technology, applied in the field of face recognition, can solve the problems of prolonging the detection time and low detection efficiency, and achieve the effect of reducing the detection time and improving efficiency

Inactive Publication Date: 2018-03-16
LENOVO (BEIJING) LTD
View PDF11 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

During the detection process, the user needs to interact accordingly, which prolongs the detection time and makes the detection efficiency low

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Living body detection method, device and storage medium
  • Living body detection method, device and storage medium
  • Living body detection method, device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] This embodiment provides a living body detection method, which is applied to a living body detection device, such as a face recognition access control and attendance system, a face recognition anti-theft door, and a face recognition payment system, etc., wherein the face recognition payment system can be a face recognition payment system. Smart electronic devices with payment functions, such as smart phones, computers, tablet computers and other electronic devices.

[0053] figure 1 It is a schematic diagram of the implementation flow chart of a living body detection method provided by the embodiment of the present invention, see figure 1 As shown, the method includes the following steps:

[0054] Step 101: Collect an image containing a preset spectrum.

[0055] Here, the preset spectrum includes but not limited to: 550 nanometer (nm), 685nm and 850nm bands.

[0056] For the above-mentioned several wave bands, due to the influence of special substances such as skin m...

Embodiment 2

[0074] This embodiment provides a living body detection method, which is applied to a living body detection device, such as a face recognition access control and attendance system, a face recognition anti-theft door, and a face recognition payment system, etc., wherein the face recognition payment system can be a face recognition payment system. Smart electronic devices with payment functions, such as smart phones, computers, tablet computers and other electronic devices.

[0075] image 3 For a schematic flow diagram of another living body detection method provided by an embodiment of the present invention, see image 3 As shown, the method includes the following steps:

[0076] Step 201: Acquire an image containing a preset spectrum.

[0077] Here, the preset spectrum includes but not limited to: 550 nanometer (nm), 685nm and 850nm bands.

[0078] For the above-mentioned several wave bands, due to the influence of special substances such as skin melanin, a special "W" mod...

Embodiment 3

[0106] This embodiment provides a living body detection method, which is applied to a living body detection device, such as a face recognition access control and attendance system, a face recognition anti-theft door, and a face recognition payment system, etc., wherein the face recognition payment system can be a face recognition payment system. Smart electronic devices with payment functions, such as smart phones, computers, tablet computers and other electronic devices.

[0107] Figure 4 For a schematic flow diagram of another living body detection method provided by an embodiment of the present invention, see Figure 4 As shown, the method includes the following steps:

[0108] Step 301: Acquire an image containing a preset spectrum.

[0109] Here, the preset spectrum includes but not limited to: 550 nanometer (nm), 685nm and 850nm bands.

[0110] For the above-mentioned several wave bands, due to the influence of special substances such as skin melanin, a special "W" m...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a living body detection method, a living body detection device and a storage medium. The method comprises the following steps that: an image containing a preset spectrum is collected; a target object in the image is identified, and the feature region of the target object is determined; the light reflection information of the feature region is obtained; and whether the target object is a living body object is judged based on the light reflection information of the feature region. With the living body detection method, the living body detection device and the storage medium provided by the technical schemes of the invention adopted, detection time can be reduced, and detection efficiency can be improved.

Description

technical field [0001] The present invention relates to face recognition technology, in particular to a living body detection method, device and storage medium. Background technique [0002] Face recognition is a biometric technology for identity recognition based on facial feature information. Usually, image or video acquisition equipment is used to automatically detect and locate the position of the face in the image, and then perform face recognition on the detected face. [0003] With the widespread popularization of face recognition technology, a series of potential personal security and privacy issues are gradually exposed, such as using face photos, face dynamic video clips or fake 3D face molds to simulate real people to deceive face recognition systems. In order to prevent this potential deceptive attack, the currently commonly used method is to judge whether it is a living human face based on the living body movement information, such as requiring the user to make ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/20G06K9/62G06V10/764G06V10/143
CPCG06V40/172G06V40/45G06V10/143G06F18/22G06V10/764G06T2207/20081G06T2207/10036G06T2207/30201G06T7/13G06V40/171G06F18/2411
Inventor 李浩
Owner LENOVO (BEIJING) LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products