Abstract: A computer-implemented method is described. The method includes generating, for display on a computing device, an identification rendering viewable on a display of the device, the identification rendering including an authority indicator and a digital image of a person. The method further includes the device triggering an interactive effect associated with the identification rendering. The triggering occurs in response to the device receiving a trigger input and the trigger can be from any input or communications sensor of the computing device. The triggered interactive effect includes an authority indicator and a freshness indicator that enables an individual viewing the display to validate the identity of the person associated with the digital image. Validation can be based on at least one of a characteristic of the interactive effect and attributes of the person or the authority indicator.

Abstract: A method for generating an image of a palm based on a first partial image of a palm of the individual and on a second partial image of a palm including detecting first characteristic points in the first image and second characteristic points in the second image, generating a plurality of pairs of characteristic points by matching first characteristic points with second characteristic points, computing an overall geometric transformation associated with said matching, determining a local geometric transformation for each pair of points, and merging the first image with the second image as a function of the overall geometric transformation and of the local geometric transformations, in order to generate the palm image.

Abstract: The present invention relates to a method of processing a transaction sent from a proof entity (1) connected to a verification entity (2); the proof entity (1) having at least one secret key and a candidate authentication data, the verification entity (2) having the hash value of a reference authentication data; the method comprising the steps of: (a) generation by data processing means (11) of the proof entity (1) of: a signature of the proof entity (1) from said secret key; a zero-knowledge proof of the fact that the candidate authentication data and the reference authentication data match; (b) transmission to the verification entity (2) of transaction data comprising at least: said signature of the proof entity (1); said zero-knowledge proof; (c) verification by the data processing means (21) of the verification entity (2) that said signature of the proof entity (1) and the zero-knowledge proof are valid; (d) processing said transaction.

Abstract: The present invention concerns a method for learning the parameters of a convolutional neural network, CNN, for data classification, the method comprising the implementation of steps by data processing means (11a, 11 b, 11c) of at least one server (1a, 1b, 1c), of: (a1) Learning, from a base of already-classified confidential learning data, the parameters of a first CNN; (a2) Learning, from a base of already-classified public learning data, the parameters of a last fully-connected layer (FC) of a second CNN corresponding to the first CNN to which said fully-connected layer (FC) has been added. The present invention also concerns a method for classifying an input datum.

Abstract: A method for the secure use of a first neural network on an input datum, the method including the implementation, by data processing device of a terminal, of the following steps: (a) constructing a second neural network corresponding to the first neural network, into which is inserted, at the input of a target layer of the first neural network, at least one auto-encoder neural network trained to add a parasitic noise to its input; (b) using the second neural network on the input datum.

Abstract: A computer-implemented method includes: establishing a connection between a user device of a user and a system onboard a vehicle being driven by the user; requesting access, through the established connection, to user information on the user device; in response to a grant of access, retrieving at least a portion of the user information from the user device, the portion of user information including a digital identification document of the user that had been issued by an entity after having vetted the user, the digital identification document including a digital biometric of the user as well as a digital watermark indicating the issuing entity; and retaining, on the system onboard the vehicle, data encoding the digital identification document of the user on the vehicle such that when the vehicle is inspected by a third-party agent, the digital identification document of the user is presented to the third-party agent.

Abstract: A method for strong authentication of an individual by a server and a connected client device, the client device having a candidate biometric data of the individual and an image from an identity document representing at least one photograph of the individual and one optical reader data visible on the identity document. A cryptographic footprint includes extracting, by analysis of the acquired image and the optical reader data, calculating a first data decoded by application of a decoding process to the candidate information and to a first encoded data, such that the first decoded data matches first random data if the candidate information matches a reference information representative of the appearance of the photograph, verifying that a cryptographic footprint of a first concatenation of the extracted optical reader data and the decoded data coincides with the first cryptographic footprint, and a reference biometric data and the candidate biometric data match.

Abstract: A method for extracting a signature of a fingerprint shown on a source image is described. For this purpose, the source image is transformed into the frequency domain. One or more ridge frequencies are next determined by means of a convolutional neural network applied to said transformed image, n being an integer greater than or equal to 1. The source image is normalized in response to said n ridge frequencies determined. One or more signatures of said fingerprint are finally extracted from said n normalized images.

Abstract: A method for authentication or identification of an individual, comprising the implementation by data processing means (11) of a terminal (1) of the following steps: (a) Obtaining of a visible image, an infrared image and a depth image on each of which a biometric feature of said individual appears; (b) Selection of at least one of said visible images, infrared image and depth image depending on the ambient lighting conditions; (c) Detection of said biometric feature of the individual in each image selected; (d) Fusion of the biometric feature(s) detected; and, (e) Authentication or identification of said individual on the basis of the result of the fusion of the biometric feature(s) detected.

Abstract: A dermatoglyph detector includes a detection circuit and an electronic processor unit. The detection circuit includes an electrically conductive thin film in which there are formed both electrodes that are arranged to come into contact with the skin of a portion of a human body and also conductive tracks connecting the electrodes to the processor unit. The processor unit is arranged to determine electrical characteristics of the body portion extending between each pair of electrodes in contact with the skin, and to execute a computer program for acting on the basis of the determined electrical characteristics to distinguish between an authentic body portion and a fake body portion. The detection circuit includes at least two track segments of different shapes between two calibration terminals so as to present an impedance ratio that is not equal to unity.

Abstract: A method for matching an image of a palm of an individual with at least one image from a plurality of reference palm images, which includes: creation of a reference base from the plurality of reference palm images comprising, for each reference palm image, a selection of at least one reference palm region and a coding into a reference regional biometric information item, determination of an individual palmary biometric information item from the image of the palm of the individual comprising a selection of at least one individual palm region and the coding thereof into individual regional biometric information item, for each image, comparison of each individual regional biometric information item with each reference regional biometric information item, and matching of the image of the palm of the individual with at least one image from the plurality of reference palm images, as a function of a result of the comparison.

Abstract: A method of radio communication of a slave device with a master device, the method comprising steps of: receiving (202) by the slave device of a connection request sent by the master device comprising first communication parameters for communicating with the master device, the communication parameters being indicative of a sequence of frequency channels to be used during successive periods to communicate with the master device, during one of the periods, implementing by the slave device of a processing capable of causing the master device to send a connection update comprising second parameters for communicating with the master device to be used in place of the first communication parameters, the processing comprising an action (210) on one of the frequency channels capable of causing the master device to detect a degradation in communication quality on the frequency channel.

Abstract: A method of authenticating an identity document based on an extraction, by analysis of an image acquired of the identity document, of candidate information representative of the appearance of a photograph such as depicted in the acquired image and optically readable data as depicted in the acquired image.

Abstract: A method for secure use of a first neural network on an input datum, the method comprising implementing, by data processing circuitry of a terminal: (a) constructing a second neural network which corresponds to the first neural network and receives at least one convolutional neural network approximating the identity function, (b) using the second neural network on the input datum. Further including a method for training parameters of the second neural network.

Abstract: The present invention relates to a terminal comprising a main body having an upper surface that is substantially horizontal; a tower extending substantially vertically from said main body, so as to define an acquisition volume delimited by said upper surface and the tower; optical acquisition means arranged within the main body so as to be able to acquire an image of a biometric print placed within the acquisition volume facing the upper surface; a user interface arranged within the tower; wherein the tower has a cavity, and the user interface comprises a screen arranged at the bottom of the cavity and a semi-reflective plate closing the cavity so as to provide the optical illusion that said screen is floating within the acquisition volume. The present invention further relates to a method for acquiring an image of a biometric print by means of the terminal.

Abstract: In some implementations, a method includes: receiving, from the camera, a sample image that includes a fingerprint and a mensuration reference device, where the sample image is associated with a resolution; identifying (i) a plurality of edge candidate groups within the sample image, and (ii) a set of regularity characteristics associated with each of the plurality of edge candidate groups; determining that the associated set of regularity characteristics indicates the mensuration reference device; identifying a ruler candidate group, from each of the plurality of edge candidate groups, based at least on determining that the associated set of regularity characteristics indicates the mensuration reference device; computing a scale associated with the sample image based at least on extracting a set of ruler marks from the identified ruler candidate group; and generating, based at least on the scale associated with the sample image, a scaled image.

Abstract: A method for determining an element of interest referenced by image points, the real coordinates of a point of interest in the environment of the imaging device corresponding to an image point of the plurality of image points including selecting, in the image a noteworthy image point from among the plurality of image points, the noteworthy image point corresponding, in the real environment, to a noteworthy point for which the order of magnitude of the height is known, a predefined height being assigned to the height, calculating an absolute depth of the noteworthy image point based on a triplet of components of the noteworthy image point and on the predefined height, and determining the real coordinates of the point of interest in the real environment of the imaging device, based on a triplet of components of the image point corresponding to the point of interest and on the absolute depth.

Abstract: A method for determining calibration parameters for an imaging device by way of a computer, based on at least one image having at least one person including selecting, by way of the computer, a plurality of pairs of points in the at least one image, each pair of points comprising a head point and a foot point associated with the person, and determining calibration parameters by way of the computer, using a two-dimensional estimator able to determine one of the estimated image coordinates of a head point based on the image coordinates of the foot point of a person and on the calibration parameters, determining the calibration parameters comprising minimizing an error between said estimated image coordinates of the head point and said image coordinates of the corresponding head point.

Abstract: An identification document includes a card structure including a plastic material, a surface of the card structure including a first surface region that includes a plurality of depressions formed in the surface according to a predefined pattern; and a second surface region that includes a majority of a surface area of the identification document, wherein the second surface region is non-porous. A surface energy of the surface in the first surface region is greater than a surface energy of the surface in the second surface region.

Abstract: A method including: for each image forming part of a plurality of images showing an individual, applying processing to the image so as to produce a biometric template relating to the individual; calculating an average template constituting an average of the biometric templates produced; modifying a chosen image from the plurality of images into a modified image, the modification being adapted so that an error between the average template and a biometric template produced by applying the processing to the modified image is smaller than an error between the average template and the biometric template that has been produced by applying the processing to the chosen image.