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: The present invention relates to a parameter training method for a convolutional neural network, CNN, for classifying data, the method comprising the implementation by data processing means (11c) of servers (1a, 1b, 1c) of steps of: (a1) Obtaining parameters of a set of at least one first CNN; (a2) For a first CNN of said set: Training, based on a database of already-classified public training data, parameters of a final representation block (B) of a second CNN corresponding to the first selected CNN to which said representation block (B) has been added; Retraining, based on a database of already-classified confidential training data of a secondary server (1a, 1b), parameters of the second CNN; Transmitting to the main server (1c) parameters of a third CNN corresponding to the second CNN without a final representation block (B); (a3) Replacing a first CNN of said set of first CNNs with the third CNN; (a4) Aggregating said set of at least one first CNN into a fourth CNN.

Abstract: A biometric data processing method implemented by a proof entity and a verification entity that are connected. The proof entity has a candidate biometric data, a reference biometric data, cryptographic footprints of the reference biometric data, and the candidate biometric data. The verification entity has a set of cryptographic footprints of reference biometric data of authorized users. The method includes generating the proof entity of a zero-knowledge proof of the fact that the candidate biometric data and the reference biometric data match. Transmitting to the verification entity the zero-knowledge proof of the cryptographic footprints of the candidate biometric data and the reference biometric data. Verifying that the zero-knowledge proof is valid, and the received cryptographic footprint of the reference biometric data belongs to the set of cryptographic footprints of reference biometric data in the possession of the verification entity.

Abstract: The invention proposes a method of authentication of an electronic identity device (1) presented by an individual, the method being characterized in that it comprises the implementation of steps of: (b) Reception by data processing means (21) of a server (2) of an acquired image of said electronic identity device (1), the image representing at least one personal visual element of the individual and a dynamic verification code that are visible on said electronic identity device (1), said dynamic verification code containing at least one item of reference information representative of an expected appearance of said visual element; (c) Extraction, by analysis of said acquired image by the data processing means (21) of the server (2), of: an item of candidate information representative of the appearance of said visual element as represented in the acquired image; the reference information representative of the expected appearance of said visual element contained in said dynamic verification code as represente

Abstract: Method for capturing a thermal pattern by a sensor comprising a plurality of pixels each comprising a heat-sensitive measuring element, the method comprising, for each pixel: heating the measuring element; first reading of the electrical charges outputted by the pixel during a first measurement duration and giving a first measurement value x1; second reading of the electrical charges outputted by the pixel during a second measurement duration and giving a second measurement value x2; calculating a difference x1??·x2, where ? is a positive real number, and wherein more than half of the heating duration is implemented during the first measurement duration and less than half of the heating duration is implemented during the second measurement duration.

Abstract: The present invention relates to a method of segmenting an input image representing at least one biometric trait, by means of a convolutional neural network, CNN, the method being characterized in that it comprises the implementation, by data processing means (21) of a client (2), of steps of (b) generating, by means of a first subnetwork of said CNN, referred to as a specialization block, a confidence mask associated with a ridge orientation map of the at least one biometric trait represented by said input image, referred to as a RFM mask; said RFM mask being applied to at least the input image so as to obtain a focused input image; (c) segmenting, by means of a second subnetwork of said CNN, referred to as a segmentation block, the focused input image.

Abstract: An identification document includes a first layer and a second layer fused to the first layer. The first layer and the second layer include polyester, and the identification document is non-delaminable. Forming the identification document includes providing variable data on a surface of a first layer including polyester, aligning the first layer and a second layer including polyester, and fusing the first layer and the second layer to yield a fused identification document.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining image data of an identification (ID) document and identifying a pattern of the ID document based on analysis of the image data against a predefined patterns for a particular type of document. An identifier engine of the system computes a frequency metric that defines how often the pattern reoccurs at the ID document and generates a unique identifier for the ID document based on the computed frequency metric. The unique identifier is stored at a digital fingerprint database of the system as a digital fingerprint for the ID document.

Abstract: Some implementations may include a computer-assisted method for authenticating a person at a point of service, the method including: receiving a digital identification document including a digital biometric of the person and a digital watermark, the digital watermark encoding personally identifiable information of the person; retrieving the digital watermark from the received digital identification document; extracting the personally identifiable information from the retrieved digital watermark; and authenticating the person identified by the digital biometric based on the retrieved digital watermark.

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: Some implementations of the present disclosure are directed to a computer-implemented method that includes: detecting a plurality of characters from a photo of an object; generating a set of character-based features based on the plurality of characters; matching the set of character-based features with a template of feature sets obtained from known objects; based on a matching set of character-based features, establishing a matching transformation between the object in the photo and the template of feature sets; and projecting the matching transformation to the photo such that the object is segmented from the photo.

Abstract: A biometric inspection device including a housing provided with an acquisition interface, the device including an optical sensor for acquiring at least one image of a portion of the body of a candidate for inspection appearing before the acquisition interface. The optical sensor is configured so that the image also covers an internal zone of the housing situated outside the acquisition interface.

Abstract: A method for selecting an image of a fingerprint for identifying an individual is described. The method includes: acquiring a current image comprising a fingerprint and segmenting said fingerprint; determining a value representing a stability of said current image; determining a value representing the sharpness of said current image; determining a score, said score being a combination of said value representing a stability, of said value representing a sharpness and of a number of segmented fingerprints; and selecting said current image for identifying said individual in the case where said score is higher than a first threshold value, and otherwise storing said current image in memory as best image in the case where the score thereof is higher than a best score value, and repeating this method.

Abstract: A method for detecting bots in a user network (R), the method comprising the following steps: receiving (102) by a user terminal (2) an identifier (ID) associated with a network user account; transmitting (104), by the user terminal (2), the identifier (ID) to an access control system (3) configured to determine whether or not a mobile terminal owner has the right to access an area or service, the area or service being independent of the user network (R); transmitting (106), by the access control system (3) to the server (1), a representative data element supporting that the identifier (ID) has been received by the access control system (3); and using (108) by the server (1) the representative data element to determine whether the user of the account associated with the identifier (ID) is a bot or not.

Abstract: A computer-implemented method that includes providing, by a first computing device, a request for identifying data, wherein the first computing device is accessible by a first user. The method may further include receiving, by a second computing device, the request provided by the first computing device, wherein the second computing device is accessible by a second user. Additionally, the method may include, transmitting, by the second user, identifying data to a location accessible by the first computing device, wherein the identifying data is transmitted to the location based on an address provided by the first user. The method may yet further include accessing, by the first user, the identifying data transmitted by the second user; and validating, by the first user, the identifying data provided by the second user in response to accessing the identifying data.

Abstract: A method for detecting images of fraudulently generated or photocopied secure credential documents using texture analysis includes receiving, by one or more processors, an image of a secure credential document from a computer device. The one or more processors segment the image of the secure credential document into multiple regions. For each region of the multiple regions, the one or more processors extract local high-resolution texture features from the image of the secure credential document. The one or more processors generate a score based on the local high-resolution texture features using a machine learning model. The score is indicative of a likelihood that the image of the secure credential document is fraudulently generated or photocopied. The one or more processors transmit a message to a display device indicating that the image of the secure credential document is fraudulently generated or photocopied.

Abstract: Method for controlling commands suitable to be processed by a peripheral (2) comprising the following steps implemented by a control circuit (6) connected to a communication bus (8), a command circuit (4) and the peripheral (3) also being connected to the communication bus (8): granting or refusing authorization to the command circuit (4) to transmit a command signal of the peripheral via the bus (8), detecting the possible transmission of the command signal for the peripheral by the command circuit via the bus (8), implementing protection measures (614) when the control circuit detects that the command signal has been transmitted as the control circuit has not granted authorization, or that the command signal has not been transmitted as the control circuit has granted authorization.

Abstract: A method for automatic correction and generation of facial images includes storing, by a computer system, multiple constraints specifying an image quality. The computer system receives a first image of a face of a user from a computer device. The computer system determines that the first image of the face of the user violates at least one constraint of the multiple constraints specifying the image quality. Responsive to the determining that the first image of the face of the user violates the at least one constraint, the computer system generates a second image of the face of the user based on the first image of the face of the user and the at least one constraint, such that the second image of the face of the user satisfies the at least one constraint. A display device of the computer system displays the second image of the face of the user.

Abstract: The invention proposes a method for registering data from an individual's identity document (1), the method being characterized in that it comprises implementing by data processing means (21) of a server (2) the following steps: (A) Receipt of a photograph of said individual visible on said identity document (1), an optical reading data element of the identity document (1), and at least one personal data element of said individual; (B) Extraction by analysis of said photograph from reference information representative of the appearance of said photograph; (C) Generation of a random string, calculation of an encoded data element by applying an encoding procedure to said reference information representative of the appearance of said photograph and said random string; (D) Storage on the server (2) data storage means (22) of: Said encoded data element; A cryptographic imprint of a first concatenation of the optical reading data element of the identity document (1) and the random string; An encryption with a c

Abstract: A fingerprint detection device comprising a support having a bearing surface, a sensor arranged to capture an image of a dermatoglyph of a user's finger placed on the bearing surface, and an impedance-measuring electronic circuit connected to electrodes extending on the bearing surface, conductive tracks extending on the bearing surface between the electrodes and the impedance-measuring electronic circuit. At least two of the electrodes are connected to the impedance-measuring electronic circuit by at least two conductive tracks.