Abstract: A method for executing a transaction for a processor associated with a persistent memory and with a cache memory, the cache memory comprising cache lines associated with respective states, including: if a cache line is associated with a state allowing data to be copied directly: copying data to the cache line; associating the line with a state representative of an allocation to transaction data; otherwise: flushing lines associated with a state representative of an allocation to external data and associating them with a state indicating that content of the lines has not been modified; copying data to the flushed lines; associating these lines with a state representative of an allocation to transaction data.

Abstract: A method for comparing a first and a second databases to determine whether an individual is represented by both an element of the first database and an element of the second database, wherein said elements are biometric data, including the implementation of the steps applying a classification model for each element of each database so as to construct a set of first and second bins of the respective first and second databases, each bin bringing together similar elements, each first bin being associated with a second bin; comparing the elements from the first database for at least one pair of an associated first bin and second bin belonging to said first bin with the elements from the second database belonging to said second bin, at least one of the first and the second databases then being encrypted homomorphically.

Abstract: The invention relates to a process for monitoring vehicles on a road by a system comprising at least one radar sensor and a second sensor different from the radar sensor, wherein the second remote sensor is a time-of-flight optical sensor or optical image sensor, the process comprising a temporal readjustment and a spatial matching in order to obtain a set of measurement points each assigned to first characteristics derived from the radar data and second characteristics derived from the optical data, the determination of the radar vehicle trackings and of the optical vehicle trackings, a comparison of similarity between the radar vehicle trackings and the optical vehicle trackings, the elimination of the radar vehicle trackings for which no optical vehicle tracking is similar, the process comprising monitoring a parameter derived from first characteristics of a retained radar vehicle tracking.

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 verification method for verifying the authenticity of a fingerprint acquisition of a reference image of a reference fingerprint including acquisition of a candidate image of a candidate fingerprint, geometric comparison between the geometric characteristic of the pattern of said reference print and the geometric characteristic of the pattern of said candidate print extracted from the acquired images, determination of geometric coherence between said reference print and said candidate print as a function of the result of the geometric comparison step and of the reference and candidate digital geometric configuration information extracted from the acquired images, and decision-making as to the authenticity of said candidate fingerprint as a function of the result of the geometric coherence determination step.

Abstract: A method for checking an individual having an identity document on a medium comprising an electronic chip in which a reference biometric datum of the individual is stored and capable of displaying an automatic reading zone representing an optical reading datum of the identity document, the method includes carrying out by a checking device of acquiring a candidate biometric datum on a biometric trait of the individual, retrieving from the candidate biometric datum in a memory, an optical reading datum associated with the reference biometric datum corresponding to the biometric trait of the individual, and opening a secure communication channel with the electronic chip of the medium of the individual's identity document using said retrieved optical reading datum.

Abstract: Techniques for texture-based authentication of digital identity documents are disclosed. The disclosed techniques include authentication based on global texture information and/or on local texture information. Global texture-based authentication may include generating a global texture profile for an identity document image and comparing the global texture profile with a stored profile associated with a jurisdiction class of the identity document. Local texture-based authentication may include generating one or more local texture patches representative of texture information of one or more select local blocks of the ID. The one or more local texture patches are provided as input to one or more local detectors each trained to detect the presence of a forgery based on a target manipulation space.

Abstract: The invention relates to a contactless device (1) for capturing a biometric print, said device comprising a user region (10) and an electronic compartment (20), the user region (10) being suitable for receiving a hand portion of a user according to an orientation vector (V), the electronic compartment (20) comprising lighting means and an image-acquiring device (40), the image-acquiring device (40) being oriented along an optical axis (A1) making a first angle (B1) to the orientation vector (V), the lighting means comprising a light source (31) oriented along a lighting axis (A31) such that the projection (PA31) of said lighting axis (A31) in the plane defined by the orientation vector (V) and the optical axis (A1) makes a second angle (B31) to the orientation vector (V), the first angle (B1) being smaller than or equal to eighty degrees, the second angle (B31) being smaller than or equal to eighty degrees.

Abstract: A fingerprint acquisition device comprising, a space for receiving a finger of a user, a light source configured to emit a illumination light illuminating the space, a camera configured to acquire an image of a fingerprint of the finger, when the finger is received in the space, and, a polarization system configured to polarize the illumination light before the illumination light reaches the space and after the illumination light has passed through the space, and to polarize an ambient light emanating from outside the device and propagating towards the camera, before the ambient light reaches the space, and to polarize the ambient light after the ambient light has passed through the space.

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 distributed-computing method for computing a metric f(X,Y) representative of a difference between a datum X comprising n bits (x1, . . . , xn) and a datum Y, the metric f(X,Y) taking the form f(X,Y)=fX(X)+?i=1nfi(xi,Y)+fY(Y), the method being implemented by a system comprising m+1 devices and including for any j ranging from 1 to m, computing, by way of the device of index j, at least one intermediate datum depending on the datum X and on the datum Y, and transmitting to the device of index m+1 at least one result comprising or depending on each intermediate datum, and determining, by way of the device of index m+1, the metric f(X,Y), the determining comprising summing each result to obtain a value equal to ?i=1nfi(xi,Y) or a value equal to ?i=1nfi(xi,Y)+fY(Y).

Abstract: An evaluation method of a biometric identification function implemented from a candidate biometric data set and a reference biometric data set, the biometric identification function, applied to a candidate biometric data item and a reference biometric data item, returning a match, the method comprising steps of: obtaining pairs of false matches, each pair comprising a candidate biometric data item and a reference biometric data item not associated with a same known individual; determining, for each candidate biometric data item in a pair, a first number associated with said item and equal to the number of pairs of false matches obtained comprising said item, and/or a second number associated with said reference biometric data item and equal to the number of pairs of false matches obtained comprising said item; calculating a bias score based on a maximum of the first numbers and/or based on a maximum of the second numbers.

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 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 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 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 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.