Method and device for human face vivo detection

A technology of liveness detection and human face, which is applied in fraud detection, instrument, character and pattern recognition, etc., can solve the problem of low recognition accuracy and achieve the effect of improving accuracy

Active Publication Date: 2017-05-31
HANVON CORP
View PDF18 Cites 37 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a human face liveness detection method and

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
  • Method and device for human face vivo detection
  • Method and device for human face vivo detection
  • Method and device for human face vivo detection

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0030] Example one:

[0031] This embodiment provides a method for detecting live human faces, which is applied to electronic devices with active light sources, such as figure 1 As shown, the method includes: Step 10 to Step 12.

[0032] Step 10: Obtain the first image and the second image containing the face to be detected and the collection time interval is less than the preset time length.

[0033] In specific implementation, the active light source may be an active infrared light source, such as an infrared LED fill light, or an active visible light source, such as an LED light with a luminous wavelength in the visible light range.

[0034] The front panel of the electronic device that performs face recognition is usually provided with a camera that collects the face image to be recognized, and the electronic device applied in the present invention is also provided with an active light source. When performing face recognition, the electronic device will activate an active light so...

Example Embodiment

[0048] Embodiment two:

[0049] See figure 2 , The face living detection method disclosed in another embodiment of the present invention is applied to an electronic device with an active light source, and the method includes step 20 to step 24.

[0050] Step 20: Acquire a first image and a second image containing the face to be detected, and the collection time interval is less than the preset duration.

[0051] Wherein, the first image is an image collected in an environment where the active light source is activated, and the second image is an image collected in an environment where the active light source is turned off. During specific implementation, the active light source may be an active infrared light source. In this embodiment, the active light source is taken as an example of the active infrared light source to describe in detail the face living detection method. An image collected under an infrared light source environment. In this embodiment, the electronic device is p...

Example Embodiment

[0096] Embodiment three:

[0097] See Figure 5 In another embodiment of the method for detecting a human face in the present invention, the method includes step 50 to step 55.

[0098] Step 50: Obtain a first image and a second image containing the face to be detected, and the collection time interval is less than a preset time length.

[0099] For a specific implementation manner of collecting the first image and the second image including the human face to be detected by the camera within the preset time, refer to the second embodiment, which will not be repeated here.

[0100] Step 51: Determine areas to be detected in the first image and the second image respectively.

[0101] For the specific implementation manners for respectively determining the area to be detected in the first image and the second image, refer to Embodiment 2, which will not be repeated here.

[0102] Step 52: Obtain a differential image of the area to be detected in the first image and the second image.

[0103]...

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 provides a method of human face vivo detection, which belongs to the field of biometrics recognition and solves the problem that the human face vivo detection method in the prior art is low in recognition accuracy. The method comprises steps: a first image and a second image containing a to-be-detected human face and with an acquisition time interval smaller than a preset time duration are acquired, wherein the first image is an image acquired in an environment of starting an active light source, and the second image is an image acquired in an environment of closing the active light source; then, to-be-detected areas in the first image and the second image are determined respectively, and a differential image for the to-be-detected areas in the first image and the second image is acquired; to-be-recognized features are extracted from the differential image; and finally, the to-be-recognized features are inputted to a preset classifier, and human face vivo detection is carried out, wherein the to-be-detected area uses the to-be-detected human face as a center, and comprises the to-be-detected human face and a partial background around the to-be-detected human face.

Description

technical field [0001] The invention relates to the field of biological feature recognition, in particular to a method and device for detecting human face liveness. Background technique [0002] Biometric recognition technology is widely used in various fields of life. Among them, face recognition technology is the most widely used because of its convenient feature collection and hygiene. For example, face recognition is used in the fields of security and access control. With the expansion of the application field of face recognition, more and more methods of attacking face recognition have emerged. Common attack methods include using media such as face photos, videos, and 3D mask models to simulate faces in front of face recognition equipment to attack face recognition. It can be seen that most of the attacks on face recognition in the prior art are non-living media. Therefore, it is an urgent problem to be solved to detect the liveness of the face to be recognized to resi...

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
IPC IPC(8): G06K9/00
CPCG06V40/166G06V40/168G06V40/45
Inventor 刘昌平黄磊孙旭东
Owner HANVON CORP
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap