Intelligent gallery management for biometrics

Patent metadata

Field	Value
Publication number	US-12579237-B2
Application number	US-202217977606-A
Country	US
Kind code	B2
Filing date	Oct 31, 2022
Priority date	Jul 28, 2017
Publication date	Mar 17, 2026
Grant date	Mar 17, 2026

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.

First claim

What is claimed is:

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:
maintain a biometric gallery that includes biometric information for a population;
generate an application specific biometric gallery by pulling a portion of the biometric information that corresponds to a subset of the population from the biometric gallery, the subset of the population associated with an application for which the biometric gallery can be used to identify people;
use the application specific biometric gallery for biometric identification;
determine identification of a person failed using the application specific biometric gallery; and
use a different biometric gallery to identify the person.

2 . The system of claim 1 , wherein the different biometric gallery is the biometric gallery.

3 . The system of claim 1 , wherein:
the application specific biometric gallery is a first application specific biometric gallery; the at least one processor generates a subset biometric gallery from the biometric gallery that is smaller than the biometric gallery; and the different biometric gallery is the subset biometric gallery.

4 . The system of claim 3 , wherein:
the portion of the biometric information that corresponds to the subset of the population is a first portion of the biometric information; the subset of the population is a first subset of the population; and the at least one processor generates the subset biometric gallery by pulling a second portion of the biometric information that corresponds to a second subset of the population associated with the application from the biometric gallery.

5 . The system of claim 1 , wherein the at least one processor determines the subset of the population by:
determining that data indicates that a first group of people are more likely to be present at a location at a particular time than a second group of people; and selecting the first group of people for the subset of the population.

6 . The system of claim 1 , wherein the different biometric gallery involves a different type of biometric than the application specific biometric gallery.

7 . The system of claim 1 , wherein the different biometric gallery involves a different access time than the application specific biometric gallery.

8 . The system of claim 1 , wherein the subset of the population comprises previously biometrically identified people.

9 . The system of claim 8 , wherein the at least one processor removes respective biometric information for a previously biometrically identified person when a time period elapses without subsequent re-identification.

10 . The system of claim 8 , wherein the previously biometrically identified people were identified using the biometric gallery.

Assignees

• Alclear Llc

Inventors

• Lupowitz Kevin

Classifications

• G06V10/772

  Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries · CPC title

• G06F18/211

  Selection of the most significant subset of features · CPC title

• G06F18/28

  Determining representative reference patterns, e.g. by averaging or distorting; Generating dictionaries · CPC title

• G06V40/1365

  Matching; Classification · CPC title

• G06V40/173

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