Pxl Vision Ag

Mikhail Vorobiev

Luc Van Gool

Stamatios Georgoulis

Michael Goettlicher

Magdalena Polac

Marcus Hudritsch

Nevena Shamoska

Benjamin Fankhauser

Suman Saha

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.

ID verification with a mobile device

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.

Facial liveness detection with a mobile device

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Zurich, Switzerland

Mikhail Vorobiev