IP Library › Granted Patent US 9,396,382
Granted Patent B2
US 9,396,382 · App. 13/969,555 · Granted Jul 19, 2016

System and method for a biometric image sensor with spoofing detection

Inventors: Michael Spencer Troy (San Antonio, TX); Raymond Charles Daley (Richardson, TX); Veeraganesh Yalla (Garland, TX)
G06K9/001G06K9/0012G06K9/00033G06K9/00107G06K9/00899
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Quick Facts
Patent No.
US 9,396,382
App. No.
13/969,555
Granted
Jul 19, 2016
Kind
B2
Abstract

The system includes a 3D biometric image sensor and processing module operable to generate a 3D surface map of a biometric object, wherein the 3D surface map includes a plurality of 3D coordinates. The system performs one or more anti-spoofing techniques to determine a fake biometric.

Claims (58)

1. A system for anti-spoofing detection of a biometric object, comprising:

a biometric image sensor operable to capture one or more images of a 3D biometric object and generate biometric image data; and

at least one processing device configured to:

process the biometric image data and perform at least a first anti-spoofing analysis, wherein the at least first anti-spoofing analysis includes at least one of: a color spectrum analysis; a reflectivity analysis; or a saturation analysis;

determine one or more anomalies in the first anti-spoofing analysis; and

in response to the one or more anomalies, determine to perform at least a second anti-spoofing analysis, wherein the at least second anti-spoofing analysis includes at least a different one of: a color spectrum analysis; a reflectivity analysis; or a saturation analysis.

2. The system of claim 1 , wherein the at least one processing device is configured to perform the color spectrum analysis by:

process the biometric image data to determine a color spectrum of the 3D biometric object; and

compare the determined color spectrum to a normal range of a color spectrum for the 3D biometric object.

3. The system of claim 1 , wherein the at least one processing device is configured to perform the reflectivity analysis by at least one of:

process the biometric image data to measure reflectivity of the 3D biometric object and compare with a normal range of reflectivity of the 3D biometric object; or

determine blurring of the biometric image data due to multi-path reflections.

4. The system of claim 1 , wherein the at least one processing device is configured to perform the saturation analysis by:

process the biometric image data to determine determines a saturation value for a plurality of pixels in one or more portions of the biometric image data; and

compare the determined saturation value to a normal range.

5. The system of claim 1 , wherein the biometric image sensor is a two dimensional (2D) or 3D imaging system and wherein the biometric image sensor is operable to project one or more wavelengths of light onto the 3D biometric object while capturing the biometric image data.

6. A system for anti-spoofing detection of a biometric object, comprising:

a biometric image sensor operable to capture one or more images of a 3D biometric object and generate biometric image data; and

at least one processing device configured to:

process the biometric image data to detect at least one biometric feature;

determine a characteristic relating to the at least one biometric feature;

compare the characteristic to a predetermined threshold;

determine that the characteristic compares unfavorably to the predetermined threshold;

perform at least one anti-spoofing analysis, wherein the at least one anti-spoofing analysis includes at least one of: a color spectrum analysis; a reflectivity analysis; or a saturation analysis;

determine one or more anomalies in the at least one anti-spoofing analysis; and

in response to determining the one or more anomalies in the at least one anti-spoofing analysis, perform at least a second anti-spoofing analysis, wherein the at least second anti-spoofing analysis includes at least a different one of: a color spectrum analysis; a reflectivity analysis; or a saturation analysis.

7. The system of claim 6 , wherein the at least one processing device is further configured to:

in response to determining one or more anomalies in the at least one anti-spoofing analysis, generating an alarm.

8. The system of claim 6 , wherein the at least one processing device is configured to perform the color spectrum analysis by:

processing the biometric image data to determine a color spectrum of the 3D biometric object; and

comparing the determined color spectrum to a normal range of a color spectrum for the 3D biometric object.

9. The system of claim 6 , wherein at least one processing device is configured to perform the reflectivity analysis by at least one of:

processing the biometric image data to measure reflectivity of the 3D biometric object and comparing the measured reflectivity with a normal range of reflectivity for the 3D biometric object; or

determining blurring of the biometric image data due to multi-path reflections.

10. The system of claim 6 , wherein the at least one processing device is configured to perform the saturation analysis by:

processing the biometric image data to determine a saturation value for a plurality of pixels in one or more portions of the biometric image data; and

comparing the determined saturation value to a normal range.

11. A method for anti-spoofing detection of a biometric object, comprising:

capturing one or more images of a 3D biometric object by a biometric image sensor;

generating biometric image data;

performing by at least one processing device at least a first anti-spoofing analysis using the biometric image data, wherein the at least first anti-spoofing analysis includes at least one of: a color spectrum analysis; a reflectivity analysis; or a saturation analysis;

determining by the at least one processing device one or more anomalies in the first anti-spoofing analysis; and

in response to the one or more anomalies, determining by the at least one processing device to perform at least a second anti-spoofing analysis, wherein the at least second anti-spoofing analysis includes at least a different one of: a color spectrum analysis; a reflectivity analysis; or a saturation analysis.

12. The method of claim 11 , further comprising:

processing the biometric image data to detect at least one biometric feature;

determining a characteristic relating to the at least one biometric feature;

comparing the characteristic to a predetermined threshold;

determining that the characteristic compares unfavorably to the predetermined threshold; and

performing the at least one anti-spoofing analysis in response to determining that the characteristic compares unfavorably to the predetermined threshold.

13. The method of claim 11 , wherein performing the color spectrum analysis includes:

processing the biometric image data to determine a color spectrum of the 3D biometric object; and

comparing the determined color spectrum to a normal range of a color spectrum for the 3D biometric object.

14. The method of claim 11 , wherein performing the reflectivity analysis includes at least one of:

processing the biometric image data to measure reflectivity of the 3D biometric object and compare with a normal range of reflectivity of the 3D biometric object; or

determining blurring of the biometric image data due to multi-path reflections.

15. The method of claim 11 , wherein performing the saturation analysis includes:

processing the biometric image data to determine determines a saturation value for a plurality of pixels in one or more portions of the biometric image data; and

comparing the determined saturation value to a normal range.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 17, 2016
From: TROY, MICHAEL SPENCER; DALEY, RAYMOND CHARLES; YALLA, VEERAGANESH
To: FLASHSCAN3D, LLC
Reel/Frame 038622/0322 →
Continuity (2)
Provisional Application 61684515 · Aug 17, 2012
Related Publication 20140049373A1 · Feb 20, 2014