Facial authentication system

Patent metadata

Field	Value
Publication number	US-11416595-B2
Application number	US-202017009280-A
Country	US
Kind code	B2
Filing date	Sep 1, 2020
Priority date	Sep 1, 2020
Publication date	Aug 16, 2022
Grant date	Aug 16, 2022

Abstract

An authentication system accesses an image of a face of a user. The face of the user is partially covered by a facial mask. The authentication system detects an area on the facial mask and generates a first identification of the user based on the area on the facial mask. The authentication system also detects an exposed area uncovered by the facial mask on the face of the user and generates a second identification of the user based on the exposed area. The authentication system compares the first identification of the user with the second identification of the user, and authenticates the user based on the comparison.

First claim

What is claimed is:

1. A computer-implemented method comprising:
accessing an image of a face of a user, the face being partially covered by a facial mask, the facial mask comprising a user signature signed with ink that is not visible to a human eye;
illuminating the facial mask with a light source operating at a light spectrum that renders the ink visible to a camera;
capturing an image of the user signature illuminated by the light source;
generating, at a computer, a first identification of the user based on the image of the user signature;
detecting an exposed area uncovered by the facial mask on the face of the user;
generating, at the computer, a second identification of the user based on the exposed area;
comparing the first identification of the user with the second identification of the user; and
authenticating, at the computer, the user based on the comparison.

2. The computer-implemented method 1 , wherein the user signature is located in a signature detection area on the facial mask.

3. The computer-implemented method of claim 1 , wherein generating the first identification of the user further comprises:
accessing a user signature library, the user signature library comprising a library of user identifiers and corresponding signature images;
comparing the user signature with the user signature library; and
determining the first identification of the user based on comparing the user signature with the user signature library.

4. The computer-implemented method of claim 2 , further comprising:
identifying the signature detection area on the facial mask.

5. The computer-implemented method of claim 1 , wherein the light source renders a content, printed with the ink on the facial mask, visible to the camera,
wherein generating the first identification of the user is based on an image of the content.

6. The computer-implemented method of claim 1 , wherein the facial mask includes a visual element,
wherein generating the first identification of the user further comprises:
accessing a user identification library, the user identification library comprising a library of user identifiers and corresponding visual elements;
comparing the visual element with the user identification library; and
determining the first identification of the user based on comparing the visual element with the user identification library.

7. The computer-implemented method of claim 1 , wherein the facial mask includes a first visual element visible to the camera, and a second visual element visible to the camera only when exposed to a light source operating at a non-human visible light spectrum,
wherein generating the first identification of the user further comprises:
accessing a user identification library, the user identification library comprising a library of user identifiers and corresponding visual elements;
comparing the first visual element and the second visual element with the user identification library; and
determining the first identification of the user based on comparing the first visual element and the second visual element with the user identification library.

8. The computer-implemented method of claim 1 , wherein detecting the exposed area uncovered by the facial mask on the face of the user further comprises:
determining biometrics data based on the exposed area,
wherein generating the second identification of the user based on the exposed area further comprises:
comparing the determined biometrics data with biometrics data from a biometrics library, the biometric library comprising a library of biometrics data and corresponding user identifiers; and
determining the second identification of the user based on comparing the determined biometrics data with the biometrics library.

9. The computer-implemented method of claim 1 , further comprising:
determining that the first identification of the user and the second identification indicate the same user; and
in response to the first and second identification being the same, validating an identity of the user.

10. The computer-implemented method of claim 1 , further comprising:
determining that the first identification of the user is the different from the second identification of the user; and
in response to the first identification being different from the second identification, detecting a second exposed area uncovered by the facial mask on the face of the user;
generating, at the computer, a third identification of the user based on the second exposed area;
determining that the first identification and the third identification indicate the same user; and
in response to the first and third identification being the same, validating an identity of the user.

11. A computing apparatus comprising:
a processor; and
a memory storing instructions that, when executed by the processor, configure the apparatus to:
access an image of a face of a user, the face being partially covered by a facial mask, the facial mask comprising a user signature signed with ink that is not visible to a human eye;
illuminate the facial mask with a light source operating at a light spectrum that renders the ink visible to a camera;
capture an image of the user signature illuminated by the light source;
generate, at a computer, a first identification of the user based on the image of the user signature;
detect an exposed area uncovered by the facial mask on the face of the user;
generate, at the computer, a second identification of the user based on the exposed area;
compare the first identification of the user with the second identification of the user; and
authenticate, at the computer, the user based on the comparison.

12. The computing apparatus of claim 11 , wherein the user signature is located in a signature detection area on the facial mask.

13. The computing apparatus of claim 11 , wherein generating the first identification of the user further comprises:
access a user signature library, the user signature library comprising a library of user identifiers and corresponding signature images;
compare the user signature with the user signature library; and
determine the first identification of the user based on comparing the user signature with the user signature library.

14. The computing apparatus of claim 12 , wherein the apparatus is further configured to:
identify the signature detection area on the facial mask.

15. The computing apparatus of claim 11 , wherein the light source renders a content, printed with the ink on the facial mask, visible to the camera,
wherein generating the first identification of the user is based on an image of the content.

16. The computing apparatus of claim 11 , wherein the facial mask includes a visual element,
wherein generating the first identification of the user further comprises:
access a user identification library, the user identification library comprising a library of user identifiers and corresponding visual elements;
compare the visual element with the user identification library; and
determine the first identification of the user based on comparing the visual element with the user identification library.

17. The computing apparatus of claim 11 , wherein the facial mask includes a first visual element visible to a camera, and a second visual element visible to the camera only when exposed to a light source operate at a non-human visible light spectrum,
wherein generating the first identification of the user further comprises:
access a user identification library, the user identification library comprising a library of user id

Assignees

• Nortek Security & Control Llc

Inventors

• Learmonth Darren

Classifications

• G06V40/70

  Multimodal biometrics, e.g. combining information from different biometric modalities · CPC title

• G06F21/32 Primary

  using biometric data, e.g. fingerprints, iris scans or voiceprints · CPC title

• G06V40/161

  Detection; Localisation; Normalisation · CPC title

• H04L63/0861

  using biometrical features, e.g. fingerprint, retina-scan (cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231) · CPC title

• G06V40/172 Primary

  Classification, e.g. identification · CPC title