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:
Apr. 30, 2024

Filed:

Jun. 03, 2020
Applicant:

West Virginia University, Morgantown, WV (US);

Inventors:

Nasser M. Nasrabadi, Morgantown, WV (US);

Jeremy M. Dawson, Fairmont, WV (US);

Ali Dabouei, Morgantown, WV (US);

Assignee:

WEST VIRGINIA UNIVERSITY, Morgantown, WV (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/12 (2022.01); G06V 10/772 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 40/1347 (2022.01); G06V 10/772 (2022.01); G06V 10/82 (2022.01);
Abstract

Various examples are provided for distortion rectification and fingerprint crossmatching. In one example, a method includes selecting an electronic, perspective distorted fingerprint sample; and generating an unwarped fingerprint sample by rectifying perspective distortions from the perspective distorted fingerprint sample by application of an unwarping transformation. Parameters of the unwarping transformation can be determined by a deep convolutional neural network (DCNN) trained on a database comprising contactless fingerprint samples suffering from perspective distortions. In another example, a system comprises processing circuitry that can: identify warp parameters associated with a contactless fingerprint sample, the warp parameters estimated from the contactless fingerprint sample by a DCNN trained on a database comprising contactless fingerprint samples suffering from perspective distortions; and generate an unwarped fingerprint sample from the contactless fingerprint sample, the unwarped fingerprint sample generated using an unwarping transformation based upon the identified warp parameters.


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