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:
Oct. 29, 2024

Filed:

May. 13, 2022
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Manoj Aggarwal, Seattle, WA (US);

Gerard Guy Medioni, Los Angeles, CA (US);

Rajeev Ranjan, Seattle, WA (US);

Joshua Engelsma, Jenison, MI (US);

Baomin Wang, Seattle, WA (US);

Abhinav Kashyap, Redmond, WA (US);

Dilip Kumar, Seattle, WA (US);

Assignee:

AMAZON TECHNOLOGIES, INC., Seattle, WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 40/12 (2022.01); G02B 5/20 (2006.01); G02B 5/30 (2006.01); G06V 10/145 (2022.01); G06V 40/13 (2022.01); G06V 40/50 (2022.01);
U.S. Cl.
CPC ...
G06V 40/1365 (2022.01); G06V 10/145 (2022.01); G06V 40/1318 (2022.01); G06V 40/1347 (2022.01); G06V 40/50 (2022.01); G02B 5/208 (2013.01); G02B 5/3025 (2013.01);
Abstract

A biometric identification system acquires a multimodal image. The system is trained to determine three embeddings: a first embedding associated with features present in a first modality, an intersection embedding associated with features present in both the first and a second modality, and an XOR embedding associated with features that are not shared between the first modality and the second modality. Once trained, the system may process a multimodal query image to determine query embedding data. Additional information, such as minutiae depicted in the multimodal query image may also be determined. The query embedding data, and in some implementations the additional information, may be compared with enrolled embedding data associated with a previously enrolled user. If the comparison exceeds a threshold value, an identity may be asserted.


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