Abstract: An identification document including a multilayer laminate having a core layer defining an opening therethrough, and a dynamic window in the opening. The dynamic window includes an optically variable coating on at least a front or a back of the dynamic window. The optically variable coating appears transparent when viewed from the front of the identification document in light transmitted through the dynamic window from the back of the identification document toward the front of the identification document, and appears nontransparent when viewed from the front of the identification document in light reflected from the front of the identification document. Fabricating an identification document with a dynamic window includes forming an opening in a core layer, positioning a dynamic window in the opening, and plate laminating the core layer and the dynamic window between at least one outer layer on each side of the core layer.

Abstract: A biometric recognition method, comprising the step of calculating a similarity score of a candidate biometric vector with a reference biometric vector. At least one of the biometric vectors is extracted using at least one neural network.

Abstract: A computer-implemented method includes: receiving a request for associating a first index of privileges and permissions with an identity token, the first index specifically encoding the privileges and permissions of a first subscriber in accessing transactional data of the requester, the request including the identity token that identifies a person and has been issued to the requester by a trusted entity through a vetting process; in response to determining that the identity token is valid and verifying that the requester is the person identified by the identity token, associating the first index of privileges and permissions of the first subscriber with the identity token; and providing the identity token associated with the first index of privileges and permissions of the first subscriber, the identity token enabling the first subscriber to access transactional data of the requester in accordance with the first index of privileges and permissions.

Abstract: A method of analyzing a fingerprint, the method comprising the step of acquiring a fingerprint image (20) together with the following steps: performing filtering processing on the fingerprint image to estimate, for each pixel of the fingerprint image, a first frequency of the ridges (21) in the fingerprint, and using the first frequencies associated with the pixels of the fingerprint image to produce a first frequency map (22) of the fingerprint image; subdividing the fingerprint image into a plurality of windows each comprising a plurality of pixels, calculating a Fourier transform for each window in order to estimate a second frequency of the ridges for all of the pixels in said window, and using the second frequencies associated with the pixels of the windows to produce a second frequency map of the fingerprint image; and merging the first frequency map and the second frequency map in order to obtain a map of consolidated frequencies of the fingerprint image.

Abstract: The invention provides a method for video surveillance in a video-surveillance system comprising the steps of capturing video images by a video camera observing an area of surveillance; wherein the capturing the video images comprises making objects in the area of surveillance irrecognizable or invisible in captured video images; receiving, by a processor, a predetermined signal; based on the received predetermined signal, generating a first control signal by the processor and transmitting the first control signal to the video camera; receiving the first control signal by the video camera; based on the received first control signal, stopping making objects in the area of surveillance irrecognizable or invisible in the captured video images.

Abstract: A method identifies a non-identified baggage item based on: acquisition of at least two images of the non-identified baggage of different types, the type of one image of a baggage item dependant on a point-of-view on the baggage in the image and/or on the nature of the data representing the baggage in the image taken among different natures of data comprising data representing the visible range and/or infrared data and/or data representing three-dimensional information; and, for each image type, on use of a neural network suited to the type for classifying the baggage represented by the image in a class of baggage classes defined for the type. Once obtained, the classes allow seeking of baggage corresponding to each class identified in a baggage database. Each baggage item in the database is associated with the baggage addressee. Each corresponding baggage item is compared with the non-identified baggage to identify the addressee.

Abstract: A method for producing an identification article is described. The method includes associating one or more data items with one or more line patterns, where the line patterns include one or more line segments. A particular data item is associated with at least a subset of line segments and the particular data item corresponds to an attribute of a user of the identification article. The method further includes integrating the line patterns with graphical features of the identification article. The graphical features being discernable by a human eye and the subset of line segments is indiscernible by the human eye. The method includes identifying a region of the identification article that includes the subset of line segments associated with the particular data item and associating the particular line pattern with an identifying feature of the user.

Abstract: The invention provides a method for processing and analyzing forensic video data using a computer program, the method comprising the steps of recording the forensic video data; providing supplementary data related to the recorded video data, wherein the supplementary data may be provided from or input by a source external of the computer program, in particular a human, or wherein the supplementary data may be extracted from the forensic video data by the computer program in an initial analyzing step; analyzing the forensic video data by the computer program using the supplementary data; and displaying a part of the forensic video data, the displayed part being based on a result of the analyzing step.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, in real-time from an image capture device, a video stream comprising images of a document by a computing device. The computing device provides, for display in an image preview window, the video stream overlaid with a graphical capture guide. In response to detecting a lighting artifact in at least one image of the video stream, the computing device modifies the graphical capture guide within the image preview window. The computing device captures one or more of the images of the document from the video stream.

Abstract: A method for processing biometric data performed by a proof entity and a verification entity; the proof entity having a biometric candidate datum, a biometric reference datum, a hash value of the biometric reference datum, a hash value of the biometric candidate datum; the verification entity having only the hash value of the biometric candidate datum; the method including steps of: generation by a data-processing unit of the proof entity of a zero-knowledge proof of the assumption that the biometric candidate datum and the biometric reference datum coincide; transmission to the verification entity of said zero-knowledge proof, the hash value of the biometric candidate datum, and the hash value of the biometric reference datum; verification by a data-processing unit of the verification entity that the zero-knowledge proof is valid, and that the hash value received from the biometric candidate datum corresponds to the one the verification entity has.

Abstract: The present invention particularly concerns a method for executing a program (P) intended to be interpreted by a virtual machine (M), the method comprising steps of determination (102) of a reference code instruction to be interpreted when executing the program, interpretation (112) by the virtual machine of the reference code instruction using machine code. This method also comprises read-out (106) of interpretation rights data (DR) indicating a portion (P1) of the program containing code instructions interpretable by the virtual machine and, on the basis of read-out data, checking the presence (110) of the reference code instruction in the portion (P1) of the program (P), the interpretation of the reference code instruction being implemented by the virtual machine (M) only if the reference code instruction is contained in the portion (P1) of the program (P).

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: A smartcard includes a fingerprint sensor and a detector circuit comprising at least first and second electrodes that are insulated from each other and that form an open circuit. The first electrode and the second electrode is arranged in such a manner that. When a user applies a first finger on the fingerprint sensor and uses a second finger to grip the smartcard, the first finger contacts the first electrode and the second finger contacts the second electrode so as to form a loop that closes the open circuit. The detector circuit further comprises a filter circuit connected to the first electrode and to the second electrode, a generator arranged to generate first signals across the terminals of the filter circuit, and processor means arranged to acquire second signals and, from the second signals, to detect whether the first and second fingers include a fake finger.

Abstract: The present invention relates to a method for processing an image executed by a terminal (1), comprising steps of receiving a proof datum previously input by a user of the terminal (1), setting (104, 106) of at least one parameter to a first value when the proof datum is equal to a secret reference datum, and to a second value different to the first value when the proof datum is different to the secret reference datum, and generation (200) of an output datum from an input datum being or dependent on an image previously acquired by a sensor (4), and also from the parameter, the output datum having a value as function of the value the parameter has been set to.

Abstract: A method for secure learning of parameters of a convolution neural network, CNN, for data classification includes the implementation, by data processing of a first server, including receiving from a second server a base of already classified learning data, the learning data being homomorphically encrypted; learning in the encrypted domain, from the learning database, the parameters of a reference CNN including a non-linear layer (POLYNOMIAL) operating an at least two-degree polynomial function approximating an activation function; a batch normalization layer before each non-linear layer (POLYNOMIAL); and transmitting the learnt parameters to the second server, for decryption and use for classification.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for normalizing skin tone brightness are disclosed. In one aspect, a method includes the actions of receiving a color image that includes a representation of a face. The actions further include selecting a group of pixels in the color image that includes the representation of the face. The actions further include determining a brightness value that represents a brightness of the group of pixels in the color image that includes the representation of the face. The actions further include determining a brightness difference value. The actions further include comparing the brightness difference value to an upper threshold brightness difference value and a lower threshold brightness difference value. The actions further include determining whether to adjust a brightness of the color image that includes the representation of the face.

Abstract: The present invention relates to a computer-implemented method of identifying a physical object, comprising the steps of providing image data comprising an image object representing a physical object, analyzing the image data to extract identification data for the image object, providing supplementary data associated with a particular physical object, and determining whether the image object corresponds to the particular physical object based on the identification data and supplementary data.

Abstract: A method of detecting fraud during identification by iris recognition, the method comprising the following steps: capturing an image of each eye of a person for identification (50), namely a first image (61) and a second image (71); extracting a first set of first characteristics from the first image (61); extracting a second set of second characteristics from the second image (71); evaluating a correlation coefficient between the first and second characteristics; and as a function of the value of the correlation coefficient, signaling an attempt at fraud or continuing with identification by eye recognition. An identification terminal arranged to perform the method.

Abstract: A method for obtaining an image of at least one fingerprint from a sequence of images is disclosed. The method comprises a segmentation of images in a sequence of acquired images making it possible to determine regions liable to comprise a fingerprint, a tracking of regions determined along with the sequence of images and a calculation of a confidence mark for each region determined. The confidence mark of a region determined is incremented (or respectively decremented) at each acquired image if the region is present in (or respectively absent from) the image, the increment (or respectively the decrement) being dependent on the predefined image acquisition frequency. Information making it possible to obtain a final image containing fingerprints is generated by the method when a predefined number of regions each having reached a confidence mark at least equal to a predetermined threshold is obtained.

Abstract: Method for detecting the presence of a body part carrying an imprint on an imprint sensor comprising a transparent face on which a body part must be placed, an image sensor, situated opposite the transparent face, able to acquire an image of an imprint, a light source for illuminating a body part placed on the transparent face. The method comprises: switching on the light source; acquiring a multicomponent image with the image sensor, each color component of the multicomponent sensor corresponding to a predefined wavelength range; obtaining, for each color component of said multicomponent image, information representing a signal generated by said image sensor for said color component; comparing said representative items of information with each other and detecting the presence of a body part according to the result of the comparison.