The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 13, 2023

Filed:

Jan. 07, 2019
Applicant:

Jumio Corporation, Palo Alto, CA (US);

Inventors:

Gregory Lee Storm, Parkville, MO (US);

Reza R. Derakhshani, Shawnee, KS (US);

Assignee:

Jumio Corporation, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/00 (2013.01); G06F 21/32 (2013.01); G06V 40/20 (2022.01); G06V 40/10 (2022.01); G06V 40/16 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 40/12 (2022.01); G06V 40/18 (2022.01); G06V 40/70 (2022.01);
U.S. Cl.
CPC ...
G06F 21/32 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 40/103 (2022.01); G06V 40/12 (2022.01); G06V 40/171 (2022.01); G06V 40/172 (2022.01); G06V 40/18 (2022.01); G06V 40/20 (2022.01); G06V 40/25 (2022.01); G06V 40/70 (2022.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a biometric authentication system. In one aspect, a method includes identifying a target user in proximity to a kiosk. Data for the target user is gathered from equipment on and in proximity to the kiosk. The gathered data is processed to generate a feature vector. The feature vector includes at least motion characteristics of the target user as the target user approaches the kiosk and touch input characteristics of the target user at the kiosk. A candidate user to compare to the target user is determined. Reference data for the candidate user is retrieved. The feature vector is compared to the reference data for the candidate user to determine a likelihood that the target user is the candidate user. A kiosk application is customized for the target user based on the determined likelihood.


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