IP Library Granted Patent US 10,970,574
Granted Patent B2
US 10,970,574 · App. 16/269,059 · Granted Apr 6, 2021

Spoof detection using dual-band near-infrared (NIR) imaging

Inventors: Yash Joshi (Kansas City, MO); Srikanth Parupati (Framingham, MA); Reza R. Derakhshani (Shawnee, KS)
Assignee: Advanced New Technologies Co., Ltd.
G06K9/00906G06F21/32G06K9/2018
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,970,574
App. No.
16/269,059
Granted
Apr 6, 2021
Kind
B2
Abstract

This document described a method that includes illuminating a first subject with electromagnetic radiation in a first wavelength range, and capturing a first image of the first subject under illumination of the first wavelength range. The method also includes illuminating the first subject with electromagnetic radiation in a second wavelength range, wherein a difference between (i) absorption of the second wavelength range by live human tissue, and (ii) absorption of the first wavelength range by live human tissue satisfies a threshold condition. The method further includes capturing a second image of the first subject under illumination of the second wavelength range, identifying, based on a difference between the first image and the second image, the first subject as an alternative representation of a live person, and preventing access to the secure system responsive to identifying the first subject as an alternative representation of a live person.

Claims (59)

1. A method for preventing access to a secure system based on determining that a subject is an alternative representation of a live person, the method comprising:

illuminating a first subject with electromagnetic radiation in a first wavelength range;

capturing a first image of the first subject under illumination of the first wavelength range;

illuminating the first subject with electromagnetic radiation in a second wavelength range, wherein a difference between (i) absorption of the second wavelength range by live human tissue, and (ii) absorption of the first wavelength range by live human tissue satisfies a threshold condition;

capturing a second image of the first subject under illumination of the second wavelength range;

calculating pixel-wise differences in intensity values between corresponding pixels of the first image and the second image;

calculating an aggregated measure of the pixel-wise differences in intensity values;

calculating a difference between the aggregated measure of the pixel-wise differences and a target value; and

identifying, based at least on the difference between the aggregated measure and the target value, the first subject as an alternative representation of a live person; and

preventing access to the secure system responsive to identifying the first subject as an alternative representation of a live person.

2. The method of claim 1 , wherein the alternative representation of a live person comprises a photograph of the live person.

3. The method of claim 2 , wherein the photograph is printed on paper or presented on a display device.

4. The method of claim 1 , wherein the first wavelength range includes 940 nm, and the second wavelength range includes 850 nm.

5. The method of claim 1 , wherein the threshold condition is satisfied if a variation between (i) the absorption of the second wavelength range by live human tissue, and (ii) the absorption of the first wavelength range by live human tissue, is more than 40%.

6. The method of claim 1 , wherein the aggregated measure of the pixel-wise differences in intensity values comprises an average of the pixel-wise differences in intensity values.

7. The method of claim 1 , wherein identifying the first subject as the alternative representation comprises processing the first image and the second image using a machine learning process trained to discriminate between images of live persons and corresponding alternative representations of the live persons.

8. The method of claim 1 , further comprising:

illuminating a second subject with electromagnetic radiation using the first wavelength range;

capturing a third image of the second subject under illumination of the first wavelength range;

illuminating the second subject with electromagnetic radiation using the second wavelength range;

capturing a fourth image of the second subject under illumination of the second wavelength range;

identifying, based on a difference between the third image and the fourth image, the second subject as a live person; and

responsive to identifying the second subject as a live person, initiating an authentication process for determining if the live person is authorized to access the secure system.

9. A secure system comprising:

one or more illumination sources that illuminate a first subject with electromagnetic radiation in a first wavelength range during a first time period, and with electromagnetic radiation in a second wavelength range during a second time period, wherein a difference between (i) absorption of the second wavelength range by live human tissue, and (ii) absorption of the first wavelength range by live human tissue satisfies a threshold condition;

one or more image acquisition devices that capture a first image of the first subject under illumination of the first wavelength range, and a second image of the first subject under illumination of the second wavelength range; and

an image analysis engine comprising one or more processing devices, the image analysis engine programmed to:

calculate pixel-wise differences in intensity values between corresponding pixels of the first image and the second image,

calculate an aggregated measure of the pixel-wise differences in intensity values,

calculate a difference between the aggregated measure of the pixel-wise differences and a target value,

identify, based at least on the difference between the aggregated measure and the target value, the first subject as an alternative representation of a live person, and

prevent access to the secure system responsive to identifying the first subject as an alternative representation of a live person.

10. The system of claim 9 , wherein the alternative representation of a live person comprises a photograph of the live person.

11. The system of claim 10 , wherein the photograph is printed on paper, or presented on a display device.

12. The system of claim 9 , wherein the first wavelength range includes 940 nm, and the second wavelength range includes 850 nm.

13. The system of claim 9 , wherein the threshold condition is satisfied if a variation between (i) the absorption of the second wavelength range by live human tissue, and (ii) the absorption of the first wavelength range by live human tissue, is more than 40%.

14. The system of claim 9 , wherein the aggregated measure of the pixel-wise differences in intensity values comprises an average of the pixel-wise differences in intensity values.

15. The system of claim 9 , wherein identifying the first subject as the alternative representation comprises processing the first image and the second image using a machine learning process trained to discriminate between images of live persons and corresponding alternative representations of the live persons.

16. The system of claim 9 , wherein:

the one or more illuminating sources

illuminate a second subject with electromagnetic radiation in the first wavelength range, and

illuminate the second subject with electromagnetic radiation in the second wavelength range;

the one or more image acquisition devices

capture a third image of the second subject under illumination of the first wavelength range, and

capture a fourth image of the second subject under illumination of the second wavelength range; and

the image analysis engine is programmed to:

identify, based on a difference between the third image and the fourth image, the second subject as a live person, and

responsive to identifying the second subject as a live person, initiate an authentication process for determining if the live person is authorized to access the secure system.

17. The system of claim 9 , wherein the secure system comprises a user-interface disposed in a kiosk.

18. One or more non-transitory machine-readable storage devices encoded with instructions configured to cause one or more processing devices to execute operations comprising:

causing one or more light source arrays to illuminate a first subject with electromagnetic radiation in a first wavelength range;

receiving a first image of the first subject captured under illumination of the first wavelength range;

causing the one or more light source arrays to illuminate the first subject with electromagnetic radiation in a second wavelength range, wherein a difference between (i) absorption of the second wavelength range by live human tissue, and (ii) absorption of the first wavelength range by live human tissue satisfies a threshold condition;

receiving a second image of the first subject captured under illumination of the second wavelength range;

calculating pixel-wise differences in intensity values between corresponding pixels of the first image and the second image;

calculating an aggregated measure of the pixel-wise differences in intensity values;

calculating a difference between the aggregated measure of the pixel-wise differences and a target value; and

identifying, based at least on the difference between the aggregated measure and the target value, the first subject as an alternative representation of a live person; and

preventing access to a secure system responsive to identifying the first subject as an alternative representation of a live person.

Assignments (7)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 29, 2022
From: ADVANCED NEW TECHNOLOGIES CO., LTD.
To: JUMIO CORPORATION
Reel/Frame 061004/0916 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 28, 2022
From: EYEVERIFY INC.
To: ALIBABA GROUP HOLDING LIMITED
Reel/Frame 061295/0117 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 28, 2022
From: EYEVERIFY INC.
To: JUMIO CORPORATION
Reel/Frame 060991/0737 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 10, 2020
From: ADVANTAGEOUS NEW TECHNOLOGIES CO., LTD.
To: ADVANCED NEW TECHNOLOGIES CO., LTD.
Reel/Frame 053754/0625 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 31, 2020
From: ALIBABA GROUP HOLDING LIMITED
To: ADVANTAGEOUS NEW TECHNOLOGIES CO., LTD.
Reel/Frame 053743/0464 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 23, 2020
From: JOSHI, YASH; PARUPATI, SRIKANTH; DERAKHSHANI, REZA R.
To: EYEVERIFY INC.
Reel/Frame 051600/0783 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 23, 2020
From: EYEVERIFY INC.
To: ALIBABA GROUP HOLDING LIMITED
Reel/Frame 051600/0965 →