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:
Aug. 08, 2023

Filed:

Oct. 17, 2022
Applicants:

Rahul Parthe, Bloomfield Hills, MI (US);

Vishesh Mistry, Alpharetta, GA (US);

Debayan Deb, Okemos, MI (US);

Inventors:

Rahul Parthe, Bloomfield Hills, MI (US);

Vishesh Mistry, Alpharetta, GA (US);

Debayan Deb, Okemos, MI (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 40/13 (2022.01); G06V 40/12 (2022.01); G06V 40/60 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 40/1312 (2022.01); G06V 10/82 (2022.01); G06V 40/1347 (2022.01); G06V 40/1365 (2022.01); G06V 40/1388 (2022.01); G06V 40/60 (2022.01);
Abstract

A fingerprinting solution that uses neural network (NN) based trained Machine Learning (ML) modules in combination with traditional image processing for contactless fingerprint capture, liveness detection to rule out fake fingers, and fingerprint matching using a portable handheld device with integrated camera, thereby eliminating the need for a special device dedicated for fingerprinting. The trained NN modules detect the size and direction of fingers in the captured image, check if fingers are reversed in the image (thereby making nails visible), check if the thumb of the correct hand is captured, and generate fixed-length fingerprint templates for subsequent matching of fingerprints. Three dimensional (3D) depth map of a finger is used to bring the fingerprint resolution to 500 dpi and eliminate distortion caused by the curvature of the finger shape to improve accuracy while scaling and flattening a fingerprint image. The solution facilitates contactless-to-contactless as well as contactless-to-contact based fingerprint matching.


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