Invention Grant
- Patent Title: Systems and methods for using machine learning for image-based spoof detection
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Application No.: US16601851Application Date: 2019-10-15
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Publication No.: US11294996B2Publication Date: 2022-04-05
- Inventor: Robert Kjell Rowe , Nathaniel I. Matter , Ryan Eric Martin , Horst Arnold Mueller
- Applicant: ASSA ABLOY AB
- Applicant Address: SE Stockholm
- Assignee: ASSA ABLOY AB
- Current Assignee: ASSA ABLOY AB
- Current Assignee Address: SE Stockholm
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F21/32
- IPC: G06F21/32 ; G06K9/00 ; G06N3/04 ; G06T7/00 ; G06N20/00 ; G06K9/62

Abstract:
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.
Public/Granted literature
- US20210110018A1 SYSTEMS AND METHODS FOR USING MACHINE LEARNING FOR IMAGE-BASED SPOOF DETECTION Public/Granted day:2021-04-15
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