Abstract: A method includes obtaining, by a processing device from an optical sensor of a mobile device, an image, processing, by the processing device, the image by using a neural network to identify a position of an object in the image and the object in the image, thereby obtaining an identified object, after processing the image, extracting, by the processing device from the identified object, a biometric characteristic, and providing, by the processing device, at least the biometric characteristic as input to determine whether the biometric characteristic identifies a user.

Abstract: A method includes obtaining, by a processing device from an optical sensor of a mobile device, an image of an object; processing, by the processing device, the image using a neural network, wherein processing the image includes distinguishing, using the neural network, a first portion of the image including a region of interest, ROI, from a second portion of the image; after processing the image, extracting, by the processing device, a biometric characteristic of the object from the ROI; and processing, by the processing device, the biometric characteristic of the object to determine whether the biometric characteristic of the object identifies a user.

Abstract: A method for identifying a user using an image of an object of the user that has a biometric characteristic of the user, like a fingerprint or a set of fingerprints of fingertips, the method comprising: obtaining, by an optical sensor of a mobile device, the image of the object; providing the image to a neural network; processing the image by the neural network, thereby identifying both, the position of the object and the object in the image; extracting, from the identified object, the biometric characteristic; storing the biometric characteristic in a storage device and/or providing at least the biometric characteristic as input to an identification means, comprising processing the input in order to determine whether the biometric characteristic identifies the user.

Abstract: A method for distinguishing a real three-dimensional object from a two-dimensional spoof of the real object, the method comprising: obtaining, by an optical sensor of a mobile device, an image containing either the spoof or the real object; providing the image to a neural network; processing the image by the neural network by: calculating at least one of: 1) a distance map representative of the distance of a plurality of pixels to the optical sensor; or 2) a reflection pattern representative of light reflection associated with a plurality of pixels constituting at least a portion of the object within the image; and comparing at least one of the calculated distance map or the calculated reflection pattern with a learned distance map or a learned reflection pattern, to determine that the image contains either the spoof or the real object.