Abstract: A system for remote identification of users. The system uses deep learning techniques for authenticating a user from an identification document and using automated verification of identification documents. Identification documents may be authenticated by validating security features. The system may determine features expected in a valid identification document and determine whether those features are present, employing techniques, such as determining whether direction-sensitive features are present. Liveness of a user indicated by the identification document may be determined with a deep learning model trained for identification of facial spoofing attacks.
Type:
Grant
Filed:
August 28, 2020
Date of Patent:
June 6, 2023
Assignee:
PXL Vision AG
Inventors:
Mikhail Vorobiev, Nevena Shamoska, Magdalena Polac, Benjamin Fankhauser, Michael Goettlicher, Marcus Hudritsch, Suman Saha, Stamatios Georgoulis, Luc van Gool
Abstract: A system for remote identification of users. The system uses deep learning techniques for authenticating a user from an identification document, using automated verification of identification documents and detection that a live person identified by the document is present. Liveness of a user indicated by the identification document may be determined with a deep learning model trained for identification of facial spoofing attacks. The deep learning model may be trained using training data extracted from facial feature locations of training images.
Type:
Grant
Filed:
August 28, 2020
Date of Patent:
September 13, 2022
Assignee:
PXL Vision AG
Inventors:
Mikhail Vorobiev, Nevena Shamoska, Magdalena Polac, Benjamin Fankhauser, Michael Goettlicher, Marcus Hudritsch, Stamatios Georgoulis, Suman Saha, Luc van Gool