Facial recognition system

Patent metadata

Field	Value
Publication number	US-11501566-B2
Application number	US-202016850125-A
Country	US
Kind code	B2
Filing date	Apr 16, 2020
Priority date	Jun 30, 2015
Publication date	Nov 15, 2022
Grant date	Nov 15, 2022

Abstract

Various embodiments of a facial recognition system are provided. In one embodiment, a processor determines a value for a lighting parameter associated with a captured facial image, determines whether any previously obtained images in a biometric database includes a similar value for the lighting parameter and, if not, stores the newly captured image in the database along with the lighting parameter value. In another embodiment, the processor calculates a score indicative of the likelihood that the face in the captured facial image is identical to the face of a previously obtained image in the database, determines whether the score exceeds a threshold value and, if so, generates a signal indicating a match. The processor adjusts the threshold based on one or more parameter values.

First claim

What is claimed is:

1. A facial recognition system, comprising:
a camera;
a processor configured to:
receive image data from the camera, the image data including a first image of a face of an individual;
calculate a first score indicative of the likelihood that the face of the individual in the first image is identical to the face of the individual in a second image from a biometric database;
determine whether the first score exceeds a dynamic match threshold;
generate a first signal indicating that the faces of the individual in the first and second images are identical if the first score exceeds the dynamic match threshold; and,
adjust the dynamic match threshold based on values of one or more parameters

wherein the processor is further configured to:
calculate a second score indicative of the likelihood that the face of the individual in the first image is identical to the face of the individual in a third image from the biometric database;
determine whether the second score exceeds the dynamic match threshold;
generate a second signal indicating that the faces of the individual in the first and third images are identical if the second score exceeds the dynamic match threshold.

2. The facial recognition system of claim 1 , further comprising an entitlement scanner configured to obtain entitlement data from an entitlement presented by the individual and wherein the processor is further configured to receive the entitlement data from the entitlement scanner and to obtain the second image from biometric database based on the entitlement data.

3. The facial recognition system of claim 1 wherein the one or more parameters include a calendar date.

4. The facial recognition system of claim 1 wherein the one or more parameters include a time of day.

5. The facial recognition system of claim 1 wherein the one or more parameters include a frequency of use of the facial recognition system.

6. The facial recognition system of claim 1 wherein the one or more parameters include a performance speed of the facial recognition system.

7. The facial recognition system of claim 1 wherein the one or more parameters include a number of times that the dynamic match threshold is not exceeded.

8. A facial recognition system, comprising:
a camera;
a processor configured to:
receive image data from the camera, the image data including a first image of a face of an individual;
calculate a first score indicative of the likelihood that the face of the individual in the first image is identical to the face of the individual in a second image from a biometric database;
determine whether the first score exceeds a dynamic match threshold;
generate a signal indicating that the faces of the individual in the first and second images are identical if the first score exceeds the dynamic match threshold; and,
adjust the dynamic match threshold based on values of one or more parameters
wherein the one or more parameters include a performance speed of the facial recognition system.

9. The facial recognition system of claim 8 wherein the one or more parameters include a calendar date.

10. The facial recognition system of claim 8 wherein the one or more parameters include a time of day.

11. The facial recognition system of claim 8 wherein the one or more parameters include a frequency of use of the facial recognition system.

12. The facial recognition system of claim 8 wherein the one or more parameters include a number of times that the dynamic match threshold is not exceeded.

13. The facial recognition system of claim 8 , further comprising an entitlement scanner configured to obtain entitlement data from an entitlement presented by the individual and wherein the processor is further configured to receive the entitlement data from the entitlement scanner and to obtain the second image from biometric database based on the entitlement data.

14. The facial recognition system of claim 13 wherein the one or more parameters include a calendar date.

15. The facial recognition system of claim 13 wherein the one or more parameters include a time of day.

16. The facial recognition system of claim 13 wherein the one or more parameters include a frequency of use of the facial recognition system.

17. The facial recognition system of claim 13 wherein the one or more parameters include a number of times that the dynamic match threshold is not exceeded.

Assignees

• Nec Corp America

Inventors

• Ranganath Krishna
• Ganz Allen
• Yap Alvin Leong Ying
• Phillips Ashlee
• Molinari Michael
• Callier Algernon

Classifications

• G06V40/173 Primary

  face re-identification, e.g. recognising unknown faces across different face tracks · CPC title

• G06V40/172 Primary

  Classification, e.g. identification · CPC title

• G06F18/22

  Matching criteria, e.g. proximity measures · CPC title

• G06V10/76 Primary

  based on eigen-space representations, e.g. from pose or different illumination conditions; Shape manifolds · CPC title

• G06V40/50

  Maintenance of biometric data or enrolment thereof · CPC title