Abstract: A method includes obtaining, by a processing device from an optical sensor of a mobile device, an image of an object. The method further includes processing, by the processing device, the image to identify the object in the image. Processing the image includes calculating at least one of a distance map or a reflection pattern. Processing the image further includes comparing the calculated distance map or the calculated reflection pattern with a known distance map or a known reflection pattern to determine whether the image contains a spoof or a real object. The method further includes obtaining, by the processing device from the image, data including a biometric characteristic of the user. The method further includes sending, by the processing device to a third party computing device, data including at least the biometric characteristic.

Abstract: A computer-implemented method for obtaining a combined image from two images, the computer-implemented method comprising: obtaining a first image and a second image of a biometric feature of a user, the biometric feature comprising a plurality of characteristics; identifying, in the first image and in the second image, the characteristics and store the first and second image and the identified characteristics; for at least some of the identified characteristics in the first image, identifying corresponding identified characteristics in the second image; deriving a transformation for transforming the at least some of the identified characteristics in the second image into the corresponding identified characteristics in the first image; modifying at least a portion of the second image using the transformation and obtaining a combined image comprising at least one portion of the first image and the at least one modified portion of the second image.

Abstract: A method for obtaining a combined image comprises: obtaining two original images of a user's biometric feature comprising a plurality of characteristics; determining a frequency of the characteristics in the first original image and in the second original image; resizing, based on the determined frequency, the first and/or second original images to obtain a first image and a second image; identifying, in the first image and in the second image, a subset of the plurality of characteristics; for some of the identified characteristics in the first image, identifying corresponding identified characteristics in the second image; deriving an affine transformation for transforming the identified characteristics in the second image into the corresponding identified characteristics in the first image; modifying a portion of the second image using the affine transformation; and obtaining the combined image comprising one portion of the first image and the modified portion of the second image.

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, wherein processing the image comprises processing the image by an encoder to obtain an encoded image and processing the encoded image by a decoder to obtain a decoded output image; after processing the image, extracting, by the processing device, a biometric characteristic of the object from the ROI; 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 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, wherein processing the image comprises processing the image by an encoder to obtain an encoded image and processing the encoded image by a decoder to obtain a decoded output image; after processing the image, extracting, by the processing device, a biometric characteristic of the object from the ROI; 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 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 obtaining data from an image of an object of a user that has a biometric characteristic of the user, like a fingerprint or a set of fingerprints of fingertips, a palm of the hand of the user, a face of the user, an eye of the user, a bottom of a foot of the user, the method comprising: on a mobile device, performing the following steps: obtaining, by an optical sensor of the mobile device, the image of the object wherein the image contains either the spoof or the real object; processing, in an identification-step, the image, thereby identifying both, the position of the object and the object in the image; wherein processing further comprises a liveliness-detection step, comprising calculating at least one of: a distance map representative of a distance of a plurality of pixels to the optical sensor, the pixels constituting at least a portion of the object within the image; a reflection pattern representative of light reflection associated with a plurality of pixels constituting at least a portion

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 or a part of the image to a neural network; processing the image or the part of the image by the neural network, comprising distinguishing, by the neural network, a portion of the image or the part of the image comprising the region of interest, ROI, from another portion of the image; extracting from the image or the part of the image, the ROI; storing the portion comprising the ROI in a storage device and/or providing the portion comprising the ROI as input to an identification means, comprising extracting the biometric characteristic of the ROI and processing the extracted biometric characteristic in order to determine whether the extracted biometric characteristic identifies the 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, wherein the object is one of a palm of the hand of the user, a face of the user, an eye of the user, a bottom of a foot of the user, 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.