Intelligent gallery management for biometrics

• US 10,614,331 B2
• Filed: 07/27/2018
• Issued: 04/07/2020
• Est. Priority Date: 07/28/2017
• Status: Active Grant

• Current Assignee: Secure Identity LLC (Clear Secure, Inc.)
• Original Assignee: Alclear, LLC (Clear Secure, Inc.)
• Inventors: Lupowitz, Kevin
• Primary Examiner(s): Doan, Kiet M
• Application Number:
  US16/048,094
• Publication Number:
  US 20190034747A1
• Time in Patent Office: 620 Days
• Field of Search: 726 7, 726 28, 382118, 382117, 382115, 455 412, 702141, 702150, 702 44, 713186
• CPC Class Codes: G06F 18/211 Selection of the most significant subset of features
• CPC Class Codes: G06F 18/28 Determining representative reference patterns, e.g. by averaging or distorting; Generating dictionaries
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06V 10/772 Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries
• CPC Class Codes: G06V 10/94 Hardware or software architectures specially adapted for image or video understanding
• CPC Class Codes: G06V 40/1365 Matching; Classification
• CPC Class Codes: G06V 40/173 face re-identification, e.g. recognising unknown faces across different face tracks
• CPC Class Codes: G06V 40/50 Maintenance of biometric data or enrolment thereof

Abstract

A system provides intelligent gallery management for biometrics. A first gallery is obtained that includes biometric and/or other information on a population of people. An application is identified. A subset of the population of people is identified based on the application. A second gallery is derived from the first gallery by pulling the information for the subset of the population of people without pulling the information for the population of people not in the subset. Biometric identification (such as facial recognition) for the application may then be performed using the second gallery rather than the first gallery. In this way, the system is improved as less time is required for biometric identification, fewer device resources are used, and so on.

Claims

1. An intelligent biometric gallery management system, comprising:

at least one non-transitory storage medium that stores instructions; and

at least one processor that executes the instructions to;

obtain a biometric gallery that includes biometric information for a population;

ascertain an application for which to use the biometric gallery to identify people;

identify a subset of the population based on the application;

derive, from the biometric gallery, an application specific biometric gallery for the application that is separate from the biometric gallery, includes a first portion of the biometric information from the biometric gallery and that corresponds to the subset of the population, and lacks a second portion of the biometric information from the biometric gallery; and

use the application specific biometric gallery to identify the people for the application, wherein;

the application specific biometric gallery is stored locally; and

the biometric gallery is stored remotely.

2. The intelligent biometric gallery management system of claim 1, wherein the at least one processor:

determines a person was not identified using the application specific biometric gallery; and

communicates with the biometric gallery to identify the person.

3. The intelligent biometric gallery management system of claim 2, wherein the at least one processor updates the application specific biometric gallery in response to determining that the person was not identified using the application specific biometric gallery.

4. The intelligent biometric gallery management system of claim 2, wherein the at least one processor adds part of the biometric information from the biometric gallery and that corresponds to the person to the application specific biometric gallery.

5. The intelligent biometric gallery management system of claim 1, wherein identification using the application specific biometric gallery is more accurate than identification using the biometric gallery.

6. The intelligent biometric gallery management system of claim 1, wherein:

the application comprises a first application;

the application specific biometric gallery comprises a first application specific biometric gallery; and

the at least one processor derives, from the biometric gallery, a second application specific biometric gallery for a second application.

7. The intelligent biometric gallery management system of claim 1, wherein the biometric gallery is at least ten times larger than the application specific biometric gallery.

8. An intelligent biometric gallery management system, comprising:

at least one non-transitory storage medium that stores instructions; and

at least one processor that executes the instructions to;

obtain a biometric gallery that includes biometric information for a population;

ascertain an application for which to use the biometric gallery to identify people;

determine data that is common to a subset of the population to which the application is applicable and is not common to a remainder of the population;

derive, from the biometric gallery, an application specific biometric gallery for the application that is separate from the biometric gallery, includes a first group of the biometric information from the biometric gallery and that is associated with the data, and

lacks a second group of the biometric information from the biometric gallery unassociated with the data; and

provide access to the application specific biometric gallery for biometric identification, wherein;

the application specific biometric gallery is stored locally; and

the biometric gallery is stored remotely.

9. The intelligent biometric gallery management system of claim 8, wherein the at least one processor updates the application specific biometric gallery.

10. The intelligent biometric gallery management system of claim 9, wherein the at least one processor adds a portion of the biometric information from the biometric gallery to the application specific biometric gallery.

11. The intelligent biometric gallery management system of claim 10, wherein the at least one processor adds the portion of the biometric information from the biometric gallery to the application specific biometric gallery upon occurrence of:

a change to the application;

a change to the biometric gallery;

or

elapse of a time period.

12. The intelligent biometric gallery management system of claim 9, wherein the at least one processor removes a portion of the application specific biometric gallery.

13. The intelligent biometric gallery management system of claim 12, wherein the at least one processor removes the portion of the application specific biometric gallery after adding to the application specific biometric gallery.

14. The intelligent biometric gallery management system of claim 12, wherein the at least one processor removes the portion of the application specific biometric gallery to maintain a minimum gallery size.

15. An intelligent biometric gallery management system, comprising:

at least one non-transitory storage medium that stores instructions; and

at least one processor that executes the instructions to;

obtain a biometric gallery that includes biometric information for a population;

create an application specific biometric gallery that is separate from the biometric gallery by pulling a first portion of the biometric information for a first subset of the population from the biometric gallery without pulling a second portion of the biometric information for a second subset of the population from the biometric gallery, the first subset of the population associated with an application for which the biometric gallery can be used to identify people; and

provide access to the application specific biometric gallery for biometric identification, wherein;

the application specific biometric gallery is stored locally; and

the biometric gallery is stored remotely.

16. The intelligent biometric gallery management system of claim 15, wherein:

the application specific biometric gallery comprises a facial recognition biometric gallery; and

the at least one processor creates a fingerprint recognition gallery from the biometric gallery.

17. The intelligent biometric gallery management system of claim 15, wherein:

the application comprises identifying ticketed people; and

the first subset of the population comprises the ticketed people.

18. The intelligent biometric gallery management system of claim 15, wherein the first subset of the population comprises previously identified people.

19. The intelligent biometric gallery management system of claim 18, wherein the at least one processor removes part of the biometric information from the application specific biometric gallery that corresponds to a previously identified person upon elapse of a time period without subsequent identification.

20. The intelligent biometric gallery management system of claim 15, wherein:

the application specific biometric gallery comprises a first application specific biometric gallery;

the at least one processor creates a second application specific biometric gallery from the biometric gallery that is larger than the first application specific biometric gallery; and

the second application specific biometric gallery is used for identification upon failure to identify using the first application specific biometric gallery.