Preventing face-based authentication spoofing
View Patent ↗System and techniques for preventing face-based authentication spoofing are described herein. A visible light emitter may be controlled to project a pattern into a camera's field of view during an authentication attempt. An image may be obtained from the camera for the authentication attempt. A potential spoofing region on image may be identified by finding the pattern. An authentication attempt based on a face found in the potential spoofing region may be prevented.
1. A system to prevent face-based authentication spoofing, the system comprising:
an emitter controller to control a visible light emitter to project a pattern into a field of view for a camera during an authentication attempt using a face;
an image sampler to obtain an image from the camera for the authentication attempt; and
a spoofing detection controller to:
identify a potential spoofing region of the image by finding the pattern within predetermined tolerances in the image; and
perform facial recognition processing on the image including avoiding facial recognition processing in the potential spoofing region to increase processing efficiency.
2. The system of claim 1 , wherein the pattern is moving.
3. The system of claim 1 , wherein the pattern includes a foreground and a background.
4. The system of claim 3 , wherein the background is selected to illuminate the face for the authentication attempt.
5. The system of claim 1 , comprising a library controller to:
receive a user submitted pattern; and
test the user submitted pattern to determine whether it as features to distinguish it from organic features.
6. The system of claim 5 , wherein the spoofing controller is arranged to include the user submitted pattern in a library of patterns when it does have features to distinguish the user submitted pattern from organic features, and rejecting the user submitted pattern otherwise.
7. The system of claim 5 , wherein the library controller is arranged to:
add features that are distinguishable from organic features to the user submitted pattern to create a modified user submitted pattern; and
add the modified user submitted pattern o the library of patterns.
8. The system of claim 1 , wherein to identify a potential spoofing region of the image by finding the pattern within predetermined tolerances in the image includes the spoofing controller arranged to:
find the pattern across a plurality of images, including the image;
measure a signal-to-noise ratio for a region in which the pattern was previously found, across the plurality of images; and
make the region the potential spoofing region when the signal-to-noise ratio is beyond a threshold.
9. A machine-implemented method to prevent face-based authentication spoofing, the method comprising:
controlling a visible light emitter to project a pattern into a field of view for a camera during an authentication attempt using a face;
obtaining an image from the camera for the authentication attempt;
identifying a potential spoofing region of the image by finding the pattern within predetermined tolerances in the image; and
performing facial recognition processing on the image including avoiding facial recognition processing in the potential spoofing region to increase processing efficiency.
10. The method of claim 9 , wherein controlling the visible light emitter to project the pattern comprises projecting the pattern with motion.
11. The method of claim 9 , wherein the pattern includes a foreground and a background.
12. The method of claim 11 , wherein the background is selected to illuminate the face for the authentication attempt.
13. The method of claim 9 , comprising:
receiving a user submitted pattern; and
testing the user submitted pattern to determine whether it has features to distinguish it from organic features.
14. The method of claim 13 , comprising including the user submitted pattern in a library of patterns when it does have features to distinguish the user submitted pattern from organic features, and rejecting the user submitted pattern otherwise.
15. The method of claim 13 , comprising:
adding features that are distinguishable from organic features to the user submitted pattern to create a modified user submitted pattern; and
adding the modified user submitted pattern to the library of patterns.
16. The method of claim 9 , wherein identifying a potential spoofing region of the image by finding the pattern within predetermined tolerances in the image includes:
finding the pattern across a plurality of images, including the image;
measuring a signal-to-noise ratio for a region in which the pattern was previously found, across the plurality of images; and
making the region the potential spoofing region when the signal-to-noise ratio is beyond a threshold.
17. At least one non-transitory machine readable medium including instructions stored thereon to prevent face-based authentication spoofing, the instructions, when executed by a machine, cause the machine to perform operations comprising:
controlling a visible light emitter to project a pattern into a field of view for a camera during an authentication attempt using a face;
obtaining an image from the camera for the authentication attempt;
identifying a potential spoofing region of the image by finding the pattern within predetermined tolerances in the image; and
performing facial recognition processing on the image including avoiding facial recognition processing in the potential spoofing region to increase processing efficiency.
18. The at least one non-transitory machine readable medium of claim 17 , wherein the pattern is moving.
19. The at least one non-transitory machine readable medium of claim 17 , wherein the pattern includes a foreground and a background.
20. The at least one non-transitory machine readable medium of claim 19 , wherein the background is selected to illuminate the face for the authentication attempt.
21. The at least one non-transitory machine readable medium of claim 17 , comprising:
receiving a user submitted pattern; and
testing the user submitted pattern to determine whether it has features to distinguish it from organic features.
22. The at least one non-transitory machine readable medium of claim 21 , comprising including the user submitted pattern in a library of patterns when it does have features to distinguish it from organic features, and rejecting the user submitted pattern otherwise.
23. The at least one non-transitory machine readable medium of claim 21 , comprising:
adding features that are distinguishable from organic features to the user submitted pattern to create a modified user submitted pattern; and
putting the modified user submitted pattern to the library of patterns.
24. The at least one non-transitory machine readable medium of claim 17 , wherein identifying a potential spoofing region of the image by finding the pattern within predetermined tolerances in the image includes:
finding the pattern across a plurality of images, including the image;
measuring a signal-to-noise ratio for a region in which the pattern was previously found, across the plurality of images; and
making the region the potential spoofing region when the signal-to-noise ratio is beyond a threshold.