Systems and methods for spoof detection relative to a template instead of on an absolute scale

Patent metadata

Field	Value
Publication number	US-10430638-B2
Application number	US-201615388586-A
Country	US
Kind code	B2
Filing date	Dec 22, 2016
Priority date	Nov 10, 2016
Publication date	Oct 1, 2019
Grant date	Oct 1, 2019

Abstract

Disclosed are a system and method for performing spoof detection. The method includes: receiving, by a processor from a biometric sensor, an input image of a biometric; extracting, by the processor, one or more anti-spoof metrics from the input image; receiving, by the processor, an anti-spoof template corresponding to the biometric; for a first anti-spoof metric, computing, by the processor, a differential value between a value of the first anti-spoof metric extracted from the input image and a value of the first anti-spoof metric in the anti-spoof template; and determining, by the processor, whether the input image is a replica of the biometric based on the differential value.

First claim

What is claimed is:

1. A device, comprising:
a sensor configured to capture an input image of a biometric; and
a processor configured to:
receive, from the sensor, the input image;
extract one or more anti-spoof metrics from the input image;
receive an anti-spoof template corresponding to a biometric of a first user;
for a first anti-spoof metric, compute a first amount of a difference between a value of the first anti-spoof metric extracted from the input image and a value of the first anti-spoof metric in the anti-spoof template that corresponds to the biometric of the first user;
for a second anti-spoof metric extracted from the input image, compute a second amount of a difference between a value of the second anti-spoof metric extracted from the input image and a value of the second anti-spoof metric in the anti-spoof template that corresponds to the biometric of the first user;
determine whether the input image is a replica of the biometric of the first user based on the first amount of the difference between the value of the first anti-spoof metric extracted from the input image and the value of the first anti-spoof metric in the anti-spoof template that corresponds to the biometric of the first user and the second amount of the difference between the value of the second anti-spoof metric extracted from the input image and the value of the second anti-spoof metric in the anti-spoof template that corresponds to the biometric of the first user; and
prevent successful authentication on the device in response to determining that the input image is a replica of the biometric of the first user.

2. The device of claim 1 , wherein the processor is further configured to:
receive, from the sensor, one or more enrollment images of the biometric of the first user;
extract one or more anti-spoof metrics from each of the one or more enrollment images; and
generate the anti-spoof template based on the one or more anti-spoof metrics extracted from each of the one or more enrollment images.

3. The device of claim 2 , wherein the one or more enrollment images comprises at least two enrollment images, and wherein generating the anti-spoof template comprises combining corresponding anti-spoof metrics extracted from each of the at least two enrollment images.

4. The device of claim 3 , wherein the combining comprises computing, for each anti-spoof metric, an average value for the anti-spoof metric.

5. The device of claim 3 , wherein the combining comprises computing, for each anti-spoof metric, a median value for the anti-spoof metric.

6. The device of claim 3 , wherein the combining comprises computing, for each anti-spoof metric, a range of values for the anti-spoof metric extracted from each of the at least two enrollment images.

7. The device of claim 2 , wherein the one or more enrollment images of the biometric of the first user are further stored in a matcher template storage, wherein the processor is configured to determine whether the input image is a match to one or more of the enrollment images separate from determining whether the input image is a replica of the biometric of the first user.

8. The device of claim 1 , wherein the biometric of the first user comprises a fingerprint of a finger of the first user, and the replica comprises a gelatin mold, a graphite mold, or a wood glue mold of the fingerprint of the finger.

9. A method for performing spoof detection, comprising:
receiving, by a processor from a sensor, an input image of a biometric;
extracting, by the processor, one or more anti-spoof metrics from the input image;
receiving, by the processor, an anti-spoof template corresponding to a biometric of a first user;
for a first anti-spoof metric, computing, by the processor, a first amount of a difference between a value of the first anti-spoof metric extracted from the input image and a value of the first anti-spoof metric in the anti-spoof template that corresponds to the biometric of the first user;
for a second anti-spoof metric extracted from the input image, computing, by the processor, a second amount of a difference between a value of the second anti-spoof metric extracted from the input image and a value of the second anti-spoof metric in the anti-spoof template that corresponds to the biometric of the first user;
determining, by the processor, whether the input image is a replica of the biometric of the first user based on the first amount of the difference between the value of the first anti-spoof metric extracted from the input image and the value of the first anti-spoof metric in the anti-spoof template that corresponds to the biometric of the first user and the second amount of the difference between the value of the second anti-spoof metric extracted from the input image and the value of the second anti-spoof metric in the anti-spoof template that corresponds to the biometric of the first user; and
preventing, by the processor, successful authentication on the device in response to determining that the input image is a replica of the biometric of the first user.

10. The method of claim 9 , further comprising:
receiving, by the processor from the sensor, one or more enrollment images of the biometric of the first user;
extracting, by the processor, one or more anti-spoof metrics from each of the one or more enrollment images; and
generating, by the processor, the anti-spoof template based on the one or more anti-spoof metrics extracted from each of the one or more enrollment images.

11. The method of claim 10 , wherein the one or more enrollment images comprises at least two enrollment images, and wherein generating the anti-spoof template comprises combining corresponding anti-spoof metrics extracted from each of the at least two enrollment images.

12. The method of claim 11 , wherein the combining comprises computing, for each anti-spoof metric, an average value for the anti-spoof metric.

13. The method of claim 11 , wherein the combining comprises computing, for each anti-spoof metric, a median value for the anti-spoof metric.

14. The method of claim 11 , wherein the combining comprises computing, for each anti-spoof metric, a range of values for the anti-spoof metric extracted from each of the at least two enrollment images.

15. The method of claim 10 , wherein the one or more enrollment images of the biometric of the first user are further stored in a matcher template storage, wherein the processor is configured to determine whether the input image is a match to one or more of the enrollment images separate from determining whether the input image is a replica of the biometric of the first user.

16. The method of claim 9 , wherein the biometric of the first user comprises a fingerprint of a finger of the first user, and the replica comprises a gelatin mold, a graphite mold, or a wood glue mold of the fingerprint of the finger.

17. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, causes a computing device to perform spoof detection, by performing steps comprising:
receiving, from a sensor, an input image of a biometric;
extracting one or more anti-spoof metrics from the input image;
receiving an anti-spoof template corresponding to a biometric of a first user;
for a first anti-spoof metric, computing a first amount of a difference between a value of the first anti-spoof metric extracted from the input image and a value of the first anti-spoof metric in the anti-spoof template that corresponds to the biometric of the first user;
for a second anti-spoof metric extracted fr

Assignees

• Synaptics Inc

Inventors

• Russo Anthony P

Classifications

• G06V40/1382 Primary

  Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger · CPC title

• G06V40/1365

  Matching; Classification · CPC title

• G06V10/751

  Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching · CPC title

• G06K9/6202

  Physics · mapped topic

• G06K9/00899

  Physics · mapped topic