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 of the object within the image; and wherein processing further comprises a comparison-step comprising comparing at least one of the calculated distance map or the calculated reflection pattern with a known distance map or a known reflection pattern, thereby determining, based on an outcome of the comparison, that the image contains either the spoof or the real object; obtaining, from the image, after the processing, data comprising at least the biometric characteristic and optionally storing the data in a storage device; sending, to a third party computing device, data comprising at least the biometric characteristic.

A liveness determining method and apparatus are provided. The liveness determining apparatus includes an optical sensor including at least one optical source; a memory configured to store registered color information; and at least one processor configured to: obtain, from the optical sensor, an input fingerprint image of an object corresponding to the at least one optical source, obtain input color information from the input fingerprint image, compare the input color information and the registered color information, and determine liveness of the object based on a result of the comparing.

The present disclosure relates to an updating method for configuration parameters of an electronic device, a device and a computer-readable medium, wherein the updating method includes: acquiring fingerprint information collected by a fingerprint sensor at the electronic device; determining whether the fingerprint information is collected in a trusted mode; acquiring, in response to determining that the fingerprint information is collected in the trusted mode, a target configuration parameter of the electronic device for anti-spoofing detection according to the fingerprint information; and updating, in response to that the target configuration parameter of the electronic device and/or a current configuration parameter of the electronic device satisfies a preset condition, the current configuration parameter of the electronic device based on the target configuration parameter of the electronic device, wherein the current configuration parameter is used by the electronic device for anti-spoofing detection of a fingerprint in fingerprint information to be recognized. The solution of the present disclosure can update configuration parameters of the electronic device under certain conditions, thereby realizing high precision of anti-spoofing detection.

The technology described in this document can be embodied in a method that includes obtaining, by one or more image acquisition devices, a first image of a portion of a human body under illumination by electromagnetic radiation in a first wavelength range, and obtaining a second image of the portion of the human body under illumination by electromagnetic radiation in a second wavelength range. The method also includes generating, by one or more processing devices, a third image or template that combines information from the first image with information from the second image. The method also includes determining that one or more metrics representing a similarity between the third image and a template satisfy a threshold condition, and responsive to determining that the one or more metrics satisfy a threshold condition, providing access to the secure system.

A processor-implemented method with image preprocessing includes: transforming a fingerprint image into a frequency domain; suppressing a low-frequency region corresponding to a first noise component of the fingerprint image in the frequency domain; and restoring the frequency domain, in which the low-frequency region is suppressed, as an image.

The technology described in this document can be embodied in a method that includes obtaining, by one or more image acquisition devices, a first image of a portion of a human body under illumination by electromagnetic radiation in a first wavelength range, and obtaining a second image of the portion of the human body under illumination by electromagnetic radiation in a second wavelength range. The method also includes generating, by one or more processing devices, a third image or template that combines information from the first image with information from the second image. The method also includes determining that one or more metrics representing a similarity between the third image and a template satisfy a threshold condition, and responsive to determining that the one or more metrics satisfy a threshold condition, providing access to the secure system.

An image processing method, including: obtaining an original image, the original image including biological features of a to-be-detected object, fusing a global frequency domain map corresponding to the original image with the original image to obtain a global fusion image, performing living body detection on the global fusion image to obtain a first detection result, determining that the original image does not pass the living body detection when the first detection result indicates that the original image belongs to a screen reproduced image, obtaining, when the original image does not belong to the screen reproduced image, a biological feature image based on the biological features, fusing a local frequency domain map with the biological feature image to obtain a local fusion image, performing living body detection on the local fusion image to obtain a second detection result, and determining a living body detection result corresponding to the original image.

Methods for augmenting a training image base representing a print on a background, for training parameters of a convolutional neural network, CNN, or for classification of an input image The present invention relates to a method for augmenting a training image base representing a print on a background, characterized in that it comprises the implementation, by data processing means (11) of a server (1), of steps of: (b) For at least a first image of said base, and a ridge map of a second print different from the print represented by said first image, generation by means of at least one generator sub-network (G.sub.B, G.sub.M, G.sub.LT) of a generative adversarial network, GAN, of a synthetic image presenting the background of said first image and representing the second print.

A fingerprint recognition device is provided. The fingerprint recognition device includes an image acquisition module acquiring a fingerprint image including an input fingerprint, a preprocessing module generating a preprocessed image by preprocessing the fingerprint image, a minutiae extraction module extracting coordinates of each of minutiae and orientation points of the input fingerprint from the preprocessed image and a fake detection module receiving regions-of-interest (ROIs), including the coordinates of each of the minutiae or orientation points of the input fingerprint, and determining whether the input fingerprint is a fake by performing learning using the received ROIs.

A display device includes a display panel and a fingerprint authentication device disposed under the display panel. The fingerprint authentication device includes a sensor device and an optical filter. The sensor device includes a first area and a second area in a plan view and sensing light passing through the display panel. The optical filter is disposed between the display panel and the sensor device, overlaps the first area and does not overlap the second area in the plan view, and blocks the light of a certain wavelength range.