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US 10,380,443 B2Granted
Liveness detection method, liveness detection system, and computer program product
AssigneesBeijing Kuangshi Technology Co., Ltd., Pinhole (Beijing) Technology Co., Ltd.
InventorsHaoqiang Fan, Qi Yin
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Abstract
The application provides a liveness detection method capable of implementing liveness detection, and a liveness detection system that employs the liveness detection method. The liveness detection method comprises: irradiating an object to be detected with structured light; obtaining first facial image data of the object to be detected under irradiation of the structured light; determining, based on the first facial image data, a detection parameter that indicates a sub-surface scattering intensity of the structured light on a face of the object to be detected; and determining, based on the detection parameter and a predetermined parameter threshold, whether the object to be detected is a living body.
Claims12
A liveness detection method, comprising:
- irradiating an object to be detected with structured light;
- obtaining first facial image data of the object to be detected under irradiation of the structured light;
- determining, based on the first facial image data, a detection parameter that indicates a sub-surface scattering intensity of the structured light on a face of the object to be detected;
- and
- determining, based on the detection parameter and a predetermined parameter threshold, whether the object to be detected is a living body,
- wherein the detection parameter is a ratio of a sum of gradient magnitudes of the first facial image data within a predetermined region to a total brightness value of the image within the predetermined region, or
- wherein determining, based on the first facial image data, a detection parameter that indicates a sub-surface scattering intensity of the structured light on a face of the object to be detected comprises:
- dividing the first facial image data into a plurality of sub-image regions;
- performing Fourier transform on sub-image data of each sub-image region to obtain a sub-image Fourier transform coefficient of each sub-image region;
- as for each sub-image region, calculating a ratio of a sum of squares of the sub-image Fourier transform coefficient within a predetermined frequency range to a square of a sub-image Fourier transform lowest frequency coefficient;
- and
- calculating an average of the ratios in the plurality of sub-image regions as the detection parameter.
9 more elements
A liveness detection system, comprising:
- a structured light source module for emitting structured light to irradiate an object to be detected;
- an image data obtaining module for obtaining first facial image data of the object to be detected under irradiation of the structured light;
- and
- a liveness detecting module for determining, based on the first facial image data, a detection parameter that indicates a sub-surface scattering intensity of the structured light on a face of the object to be detected, and determining, based on the detection parameter and a predetermined parameter threshold, whether the object to be detected is a living body,
- wherein the detection parameter is a ratio of a sum of gradient magnitudes of the first facial image data within a predetermined region to a total brightness value of the image within the predetermined region, or
- wherein the liveness detecting module divides the first facial image data into a plurality of sub-image regions;
- performs Fourier transform on sub-image data of each sub-image region to obtain a sub-image Fourier transform coefficient of each sub-image region;
- as for each sub-image region, calculates a ratio of a sum of squares of the sub-image Fourier transform coefficient within a predetermined frequency range to a square of a sub-image Fourier transform lowest frequency coefficient and calculates an average of the ratios in the plurality of sub-image regions as the detection parameter.
5 more elements
A liveness detection device, comprising:
- a processor;
- a memory;
- and
- computer program instructions stored in the memory and when run by the processor, configured to cause the liveness detection device to perform a liveness detection method comprising the following steps:
- irradiating an object to be detected with structured light;
- obtaining first facial image data of the object to be detected under irradiation of the structured light;
- determining, based on the first facial image data, a detection parameter that indicates a sub-surface scattering intensity of the structured light on a face of the object to be detected;
- and
- determining, based on the detection parameter and a predetermined parameter threshold, whether the object to be detected is a living body,
- wherein the detection parameter is a ratio of a sum of gradient magnitudes of the first facial image data within a predetermined region to a total brightness value of the image within the predetermined region, or
- wherein the step of determining, based on the first facial image data, a detection parameter that indicates a sub-surface scattering intensity of the structured light on a face of the object to be detected performed by the liveness detection device caused by the computer program instructions run by the processor comprises:
- dividing the first facial image data into a plurality of sub-image regions;
- performing Fourier transform on sub-image data of each sub-image region to obtain a sub-image Fourier transform coefficient of each sub-image region;
- as for each sub-image region, calculating a ratio of a sum of squares the sub-image Fourier transform coefficient within a predetermined frequency range to a square of a sub-image Fourier transform lowest frequency coefficient;
- and
- calculating an average of the ratios in the plurality of sub-image regions as the detection parameter.
13 more elements
Dependencies are inferred from the claim text.