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: An optical capturing device includes a holder; a first optical sensor possessing a first field angle centered on a first optical axis; a second optical sensor possessing a second field angle centered on a second optical axis; and a third optical sensor possessing a third field angle centered on a third optical axis. A traffic enforcement device can include such an optical capturing device.

Abstract: A method for processing personal data, comprising the steps of: (a) For each reference personal data of a reference personal database, calculating in the encrypted domain a similarity rate of the reference personal data with a candidate personal data; said reference personal database being associated with a first partition into a plurality of first sets of reference personal data, and with a second partition into a plurality of second sets of reference personal data, such that each reference personal data of a reference personal database belongs to a single first set and a single second set; (b) For each first set and each second set, calculating an overall similarity rate of said set based on the similarity rates of the reference personal data of said set; (c) Comparing each overall similarity rate of a first and second set with a first and second predetermined threshold, respectively.

Abstract: A computer-implemented method for classifying dactylograms among a plurality of membership classes in which each of the classes corresponds to a specific anatomical region of the palmar face of a hand. The method includes taking, as input data, at least one dactylogram and providing, as output data, a membership class or a list of membership classes to which the dactylogram belongs from among the plurality of membership classes.

Abstract: A method comprising: generating a classification map comprising, for each block forming part of a plurality of blocks of a test image and for each class of a plurality of classes of distances in pixels, a score indicative of a probability of existence in the test image of a segment passing through the block and the length of which in pixels constitutes an inter-ridge distance of a fingerprint included in the class, generating a distance map comprising, for each block of the plurality of blocks, a local inter-ridge distance in pixels estimated for the block, and estimating an average inter-ridge distance in pixels of the test fingerprint on the basis of the inter-ridge distance map, the estimation comprising selecting, from the inter-ridge distance map, local inter-ridge distances of interest according to a criterion of proximity to the class of interest, and computing an average of the local inter-ridge distances of interest.

Abstract: A computer-implemented method comprising obtaining an image timestamp indicating a time of acquisition, by a traffic enforcement unit, of an image showing a license plate of a vehicle, the image timestamp having been indicated by a clock of the traffic enforcement unit; obtaining temporal synchronization data, said temporal synchronization data having been received by the traffic enforcement unit during a predefined time interval including the image timestamp with a view to temporal synchronization of the clock of the traffic enforcement unit with a time server; and testing the consistency of the image timestamp with the temporal synchronization data, the consistency test producing a test result indicating whether the image timestamp is valid or invalid.

Abstract: A method for determining fraud in a biometric recognition system including obtaining a first image of a region of interest of a subject in a first wavelength band; obtaining a second image of the region of interest of the subject in a second wavelength band; encoding the first image by means of a first neural encoder, to obtain a first vector representation of the first image; encoding the second image by means of a second neural encoder, to obtain a second vector representation of the second image; computing a measure of similarity between the first vector representation and the second vector representation; and determining a fraud if the similarity measure is below a predefined threshold.

Abstract: A computer-implemented method for controlling access to a site, comprising an enrollment phase and a control phase. The enrollment phase produces a signed enrollment hash based on enrollment data, and the hash is delivered to the sender of the enrollment data. The control phase produces a result indicating whether requested access to the site should be accepted, based on proof data comprising a proof hash in the form of a signed enrollment hash.

Abstract: A method for making an image of an individual, being an intermediate image, compliant with a standard, including extracting first biometric data of the individual, determining first data relating to the standard, and modifying the intermediate image into a modified image by way of a generative adversarial network, checking the compliance of the modified image, verifying the integrity of the biometric identity, validating the modified image if the biometric identity exhibits integrity and the modified image is determined to be compliant, and reiterating the modified image from the previous iteration as intermediate image.

Abstract: A method for biometric identification or authentication is described. An image of a body region is obtained. A truth map for said body region is obtained, said truth map associating, with each portion of a set of portions of said image of a body region, a probability that said portion belongs to a true body region. The image of the body region is then compared with a group of reference biometric data using the truth map. Finally, the identification or authentication of said body region is validated or invalidated in response to said comparison.

Abstract: A road traffic monitoring robot image acquisition system installation kit including: a plurality of optical device with different focal lengths, each optical device including an optical lens and a photosensitive sensor, a fixing plate adapted to form a mechanical connection between a plurality of optical devices of said plurality of optical devices, in which the fixing plate includes a fixed context video camera and a plurality of selectable fixing positions for each optical device of the plurality of optical devices, said selectable fixing positions are arranged in such a manner as to form a plurality of pre-established alignments between the fixed context video camera and one or more optical devices selected from the plurality of optical devices, said pre-established alignments and said selectable positions are configured according to a correspondence chart, said correspondence chart supplies a plurality of pre-established alignments depending on the number of and the width of the traffic lanes to be mon

Abstract: A method, implemented by computer, for locating and counting individuals in a crowd, said method takes, as input data, one or more images of a crowd of individuals, and provides, as output data, one or more binary images of connected components corresponding to the heads of the individuals of the crowd including providing a convolutional neural network previously trained on a training set of images of crowds of individuals whose heads are annotated, the annotations having previously been modified using a process of tiling as adjacent cells, generating, for each image of a crowd, a prediction map processing said image through the convolutional neural network, binarizing each prediction map using a binarization module configured to generate a threshold value or a map of threshold values specific to said prediction map PM, each binarized prediction map being a binary image of connected components corresponding to the heads of the individuals.

Abstract: A protective shell for a portable fingerprint and/or palmprint acquisition device includes: a first housing designed to receive the portable acquisition device; a second housing including a retaining device for retaining the connector-equipped end of a connecting cable for the portable acquisition device; and a dividing partition between the first housing and the second housing. The dividing partition includes an opening establishing communication between the first housing and the second housing. The opening is designed to have passing through it the connector of the connecting cable and to form a fluidtight seal around the connector.

Abstract: A computer-implemented method and a computing system are provided for training a matting neural network to generate mattes for creating portraits to be used on identity documents. The matting neural network is trained by using standardized images conforming to a template which prescribes that each standardized image should depict a human face. A standardized image is obtained by adjusting an input image which includes an area representing a face of the person and was, e.g., taken with a camera, so that a relationship between the size of the adjusted input image and the distance between target points (which represent parts of the person) in the adjusted input image satisfies a condition determined by the template, and in the adjusted input image the area is in a position defined by the template.

Abstract: An eUICC card comprising an initial runtime environment, subscriber profiles, associated adapters, and an adaptive routine configured to apply these adapters. An adapter enables the initial runtime environment to be adapted to the specificities of the corresponding profile when the latter is enabled. To enable dynamic adaptation of the runtime environment to the profiles used, the eUICC card further comprises inverse adapters associated with the profiles. The inverse adapter of the active profile makes it possible to restore the initial runtime environment upon disabling or deleting this profile. The adaptation can consist of modifying a Java class of the Java Card runtime environment of the eUICC, to the specificities of a profile.

Abstract: A method that includes receiving a first biometric datum and a query asking whether the first biometric datum is referenced in a database, searching for a second biometric datum corresponding to the first biometric datum, generating a response to the query, containing a random element satisfying the following conditions: when the second biometric datum is found in the search, the random element is an element from a set of random elements associated with the second biometric datum, when the second biometric datum is not found in the search, the random element does not belong to any of the sets of random elements, and the random element is different from a previous random element contained in a previous response to a previous query asking whether a previous biometric datum is referenced in the database.

Abstract: A method for rendering a code is provided. The method is implemented by a first mobile apparatus and includes: obtaining (S201) a digital certificate; obtaining (S202) information representing a time and/or a location; obtaining (S203) a code generated using a code generating model based on the information representing the time and/or the location; and displaying (S204) the code along with at least one element that is comprised in the digital certificate on a display of the first mobile apparatus.

Abstract: Methods, systems, and computer-readable storage media for verification of identity of individuals based on images obtained by two cameras. A first stream of images of an individual are obtained from a first camera. Gamma correction is applied to images of the first stream of images. A second stream of images of the individual is obtained simultaneously with the first stream of images from a second camera, where gamma correction is not applied to images of the second stream of images. An identity of the individual is verified by providing the first stream of images and the second stream of images for independent automated matching with an authentication image. The authentication image is an image of the individual from a verified source.

Abstract: The disclosure relates to a collecting method implemented by a first device including a first volatile memory, this first device interacting with a second device including a second non-volatile memory, the memories comprising objects each constituting an instance of an object-oriented language class. The method comprises an analysis of the objects by running through an object tree from the persistent roots; and on detecting that the analysis is finished, a collecting from the first and second memories for deleting each object that has not been analyzed during said analysis. This analysis in particular comprises, for each object: the identification of each reference pointing to another object; and the definition of a first or second type for each identified reference, this analysis continuing only along the references of the first type.

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.