SYSTEMS AND METHODS FOR USING MACHINE LEARNING FOR IMAGE-BASED SPOOF DETECTION

Number of patents in Portfolio can not be more than 2000

United States of America

APP PUB NO 20210110018A1
SERIAL NO

16601851

Stats

ATTORNEY / AGENT: (SPONSORED)

Importance

Loading Importance Indicators... loading....

Abstract

See full text

Disclosed herein are systems and methods for using machine learning for image-based spoof detection. One embodiment takes the form of a method that includes obtaining an input-data set that includes a plurality of images captured of a biometric-authentication subject by a plurality of cameras of a camera system. The method also includes inputting the input-data set into a trained machine-learning module, and processing the input-data set using the machine-learning module to obtain, from the machine-learning module, a spoof-detection result for the biometric-authentication subject. The method also includes outputting the spoof-detection result for the biometric-authentication subject.

Loading the Abstract Image... loading....

First Claim

See full text

Family

Loading Family data... loading....

Patent Owner(s)

Patent OwnerAddress
ASSA ABLOY ABP O BOX 70340 STOCKHOLM 107 23

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Martin, Ryan Eric Tijeras, US 4 50
Matter, Nathaniel I Cedar Crest, US 2 54
Mueller, Horst Arnold Rio Rancho, US 4 38
Rowe, Robert Kjell Corrales, US 6 22

Cited Art Landscape

Load Citation

Patent Citation Ranking

Forward Cite Landscape

Load Citation