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.

Abstract: 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 (GB, GM, GLT) of a generative adversarial network, GAN, of a synthetic image presenting the background of said first image and representing the second print.

Abstract: Method for acquiring a fingerprint, performed by a device comprising an active thermal sensor when it is electrically supplied at a distance by a terminal, said sensor comprising a plurality of pixels, each pixel comprising a pyroelectric capacitor which, when it is subjected to a variation in temperature, generates electrical charges, each pixel being associated with a heating element adapted for heating said pixel and being connected to a reading circuit able to measure the electrical charges generated by said capacitor. The method relies on a taking into account of the heating element received by each pixel of said sensor (33, 34) in order to determine when said pixel is able to provide (36) a signal that can be used for generating information representing a part of a fingerprint.

Abstract: A locking assembly configured to lock a vehicle control radar with respect to a support, including a first plate which is configured to be fixedly mounted on one of the support and the vehicle control radar and which has a first face; a second plate configured to be fixedly mounted on the other one of the vehicle control radar and the support, the second plate including a second face configured to be placed facing the first face of the first plate; an end stop configured to prevent the first plate from moving in translation with respect to the second plate in a first direction along a locking direction; and a lock which is separate from the end stop and which is movable in translation along the locking direction, the lock being configured to prevent the first plate from moving in translation with respect to the second plate in a second direction which is opposite to the first direction.

Abstract: A method for exchanging information about an event located in a zone, including a step of opening a two-way communication channel, triggered by a user located in the zone; a step of an electronic device acquiring zone data including images of the event and location data of the electronic device; a step of transmitting zone data to a server; a step of the server analysing the zone data; a step of the server generating user information on the basis of the analysis; a step of feeding back information, wherein the server transmits the user information to the electronic device, in order to send the user information to the user.

Abstract: A method of detecting at least one element of interest visible on an input image, by means of a convolutional neural network, CNN, the method comprises the steps of: (a) extracting, by means of an ascending branch of a first subnetwork of said CNN of feature pyramid network, FPN, type, a plurality of initial feature maps (C1, C2, C3, C4, C5) representative of the input image at different scales, said FPN further comprising a descending branch and lateral connections between the ascending branch and the descending branch, at least one lateral connection comprising an attention module; (b) generating, by means of said descending branch of the FPN, a plurality of enriched feature maps (P2, P3, P4, P5) also representative of the input image at different scales, each enriched feature map (P2, P3, P4, P5) incorporating the information from the initial feature maps (C1, C2, C3, C4, C5) of smaller or equal scale; (d) detecting at least one element of interest visible on an input image, by means of a second subnetw

Abstract: The present invention relates to a method for classifying a biometric trait represented by an input image, the method being characterized in that it comprises the implementation, by data processing means (21) of a client (2), of the steps of: (a) Determining, for each of a predefined set of possible general patterns of biometric traits, by means of a convolutional neural network, CNN, whether said biometric trait presents or not said general pattern.

Abstract: A method for detecting at least one biometric trait visible in an input image, by means of a convolutional neural network, the method wherein it comprises the implementation, by data processing means of a client, of steps of: (a) Generating, by means of a feature extraction block of said CNN, a plurality of representation vectors each defining a candidate region of interest of said input image potentially containing a biometric trait, the representation vector of a candidate region of interest comprising at least one position value of the candidate region of interest, at least one size value of the candidate region of interest, an orientation value of the candidate region of interest, and an objectivity score of the candidate region of interest; (b) Selecting, by means of a filtering block of said CNN, at least one region of interest from said candidate regions based on the representation vectors thereof.

Abstract: A device for capturing a biometric print of a user, the user compartment including a frontal opening designed for the passage of part of a hand into said user compartment and a lateral opening allowing the passage of the thumb of the user's hand, the lateral opening extending as far as the frontal opening to form a continuous open space, the lateral opening being delimited in a direction of insertion of the user's hand into the user compartment by a user hand positioning stop.

Abstract: A biometric capture device having an optical block integrating an acquisition surface, an optical acquisition system arranged so that a first light ray propagating, outside the optical block, along an optical axis of the said optical acquisition system forms at the level of the acquisition surface, an angle with respect to a normal to the acquisition surface of a value greater than a critical angle depending on the refractive indices of the optical block and of the air, the optical system also being arranged so that the optical axis forms an angle with respect to a normal to the exit face less than said critical angle, an illumination system configured to provide illumination of the acquisition surface, the illumination system generating a light beam defined by an illumination axis, a second light ray propagating along the illumination axis out of the optical block.

Abstract: The present invention relates to a method for learning parameters of a convolutional neural network, CNN, for data classification, the method comprising the implementation, by means for processing data (11) of a server (1), of steps consisting of: (a1) Learning, from an already classified learning database, the parameters of a CNN, called quantized CNN, such that said parameters are valued in a discrete space; (a2) Generating a white-box implementation of at least one layer of said quantized CNN, said white-box implementation being predetermined based on at least one of said learned parameters. The present invention also relates to a method for classifying an input datum.

Abstract: A method of secure classification of input data by a convolutional neural network (CNN), including (a) determination, by application of the CNN to the input data, of a first classification vector associating with each of a plurality of potential classes a representative integer score of the probability of the input data belonging to the potential class, the first vector corresponding to one possible vector, each possible vector of the first set associating with each of the plurality of potential classes an integer score; (b) construction, from the first vector, of a second classification vector of the input data, such that the second vector also belongs to the first space of possible vectors and has a distance with the first vector according to a given distance function equal to a non-zero reference distance; and return of the second vector as result of the secure classification.

Abstract: Re-Identification of physical objects in an image background is made possible by the use of temporary data objects (i.e., video cookies). Image data including an image object representing a physical object in at least one of a plurality of backgrounds is pre-stored in a database. Identification data for the image object and image background data is extracted from the image object and a comparison is made to determine if the identification data matches identification data in the database. In the event no match is found, a temporary data object is created and stored in the database that links the identification data and the image background data. If an identification data match is found, it is determined whether a temporary data object exists in the database. If no temporary data object exists, one is created and stored in the database. If a temporary data object is determined to exist in the database, it is determined whether the temporary data object fulfills a predetermined condition(s).

Abstract: The present invention relates to a device (1) such as a connected object comprising a first electronic circuit (2) comprising: a first processing unit (6) for executing a program, a first memory (8) for memorizing data during the execution of the program, a debug port (10) dedicated to checking the execution of the program from outside the first circuit, a second electronic circuit (4) connected to the debug port (10), comprising: a second memory (14) memorizing reference data related to the program, a second processing unit (12) for implementing the following steps automatically and autonomously via the debug port (10): checking the integrity of the data memorized by the first memory (8) and/or the compliance of the program's execution by the first processing unit (6) with a reference execution, assisted by the reference data.

Abstract: A machine-assisted method for verifying a video presence that includes: receiving, at a computing device of an identity provider, an authentication request initially sent from a requester to access an account managed by a relying party, different from the identity provider; retrieving, from the authentication request, at least a portion of a video stream feed initially from the requester, to the computing device, the portion of video stream feed portraying a face of the requester; extracting the face of the requester from the portion of the video stream feed; providing a directive to the requester soliciting a corresponding gesture; and receiving a response gesture from the requester.

Abstract: The present invention comprises an enrolment method comprising steps of: acquisition (100) of an image showing a photograph itself showing an individual, extraction (102), from the image of a characteristic of the image other than a biometric model, obtaining (104) personal data of the individual other than by the image-processing algorithm, generation (106) of a reference datum (W) from the characteristic of the image and the obtained personal data, calculation (108) of an encoded datum (s) by application of an encoding procedure to the reference datum (W) and to a random datum (c), calculation (110) of a hash (h(c) of the random datum, storage (112) in a database of the datum encoded (s) in association with the hash. The invention also comprises an identity-control method using such stored data.