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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.

Patent No.:

US 11373438 B1

PDFFull Text
Date of Patent:
Jun. 28, 2022

Filed:

Feb. 10, 2020

Fixed length fingerprint representation

Applicant:

Board of Trustees of Michigan State University, East Lansing, MI (US);

Inventors:

Joshua J. Engelsma, Lansing, MI (US);

Kai Cao, San Diego, CA (US);

Anil K. Jain, East Lansing, MI (US);

Assignee:

Board of Trustees of Michigan State University, East Lansing, MI (US);

Attorney:

Harness, Dickey & Pierce, P.L.C.

Primary Examiner:

Premal R Patel

Int. Cl.
CPC ...
G06V 40/12 (2022.01); G06T 7/33 (2017.01); G06F 21/32 (2013.01); G06K 9/62 (2022.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06V 40/1353 (2022.01); G06F 21/32 (2013.01); G06K 9/6257 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06T 7/33 (2017.01); G06V 40/1359 (2022.01); G06V 40/1371 (2022.01); G06T 2207/20084 (2013.01);
Abstract

A computer-implemented method for generating a representation for a fingerprint includes receiving, by a computer processor, an image of a given fingerprint. The method extracts particular attributes for the given fingerprint from the image using a first neural network. The first neural network is trained to identify particular attributes in fingerprints and constructs a first feature vector from the extracted particular attributes, where the first feature vector has a first fixed length. The method includes extracting textural features of the given fingerprint from the image using a second neural network, where the second neural network is trained to identify textural features that are not limited to particular attributes and constructing a second feature vector from the extracted textural features, where the second feature vector has a second fixed length. The method includes concatenating the first feature vector with the second feature vector to form a representation for the given fingerprint.

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Engelsma, Joshua. (2022). Fixed length fingerprint representation (U.S. Patent No. 11373438). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11373438

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