Abstract: Disclosed is a fraud detection method to authenticate that an object is formed of human skin. The method includes an object being placed on a home location on the surface of a propagation medium of a sensor, lighting the home location of the surface by a light source emitting light rays illuminating the home location forming with said surface a plurality of incidence angles encompassing a critical angle defined by the refraction index of the propagation medium and by a refraction index expected for authentic human skin, receipt by an imager of light rays from the surface, and acquisition of an image, and determining whether the object matches an authentic human finger based on the refraction index of said object, as a function of the spatial light distribution on the acquired image.

Abstract: Methods and systems, including computer programs encoded on a computer storage medium, are used for generating an identification document comprising an image of an individual, personal information associated with the individual, and line patterns that include multiple distinct square-wave lines. The square-wave lines enable credential data about a person assigned to the identification document to be securely stored at the identification document. A first portion of distinct square-wave lines are used to encode a first item of credential data and to determine whether the image of the individual corresponds to the first item of credential data. A second portion of distinct square-wave lines are used to encode a second item of credential data and to determine whether the personal information corresponds to the second item of credential data.

Abstract: This invention concerns a method of learning parameters of a convolutional neural network (CNN) through data processing means (11a, 11b, 11c) of at least one server (1a, 1b, 1c), for detecting items of interest visible in images, from at least one image learning database in which said items of interest, as well as characteristic geometric structures are already annotated, the CNN comprising an encoding layer for generating a representation vector of the detected items of interest, the method being characterized in that said representation vector comprises, for at least a first item of interest category to be detected, at least one descriptive value of at least a characteristic geometric structure of said first item of interest category. The present invention also relates to a process for detecting items of interest visible in an image and a method for associating items of interest visible in an image.

Abstract: The present invention concerns a method of classification of an input image representative of a biometric trait by means of a first convolutional neural network, CNN, characterized in that it comprises the implementation by data processing means (21) of a client (2) of steps of: (c) Estimation of a transformation parameter vector of said input image, by means of a second CNN, the parameters of the vector being representative of a geometric transformation enabling the biometric trait represented by the input image to be registered in a common reference frame; (d) Application to said input image of a transformation defined by said estimated transformation parameter vector, so as to obtain a registered input image; (e) Classification of the registered input image by means of the first CNN.

Abstract: A method of collecting biological material with the help of a mobile terminal, the method including the following steps: acquiring a first image and extracting a first candidate biometric dataset therefrom; comparing the candidate biometric dataset with reference biometric datasets and determining similarity scores; comparing the similarity scores with a first predetermined threshold; and when none of the similarity scores is greater than the first predetermined threshold, proceeding to collect biological material from the first dermatoglyph.

Abstract: A device for recognition from biometric characteristics extracted from at least one image of at least one iris of a candidate for recognition, the device having an image sensor with a field covering a capture zone in which at least one of the eyes of the candidate for recognition is intended to be located, and an illumination source of the capture zone, the illumination source emitting incident radiation in a wavelength range adapted to excite iris fluorescence and the sensor being arranged to be sensitive to iris fluorescence. Recognition method using such a device.

Abstract: The present invention relates to a method for extracting a feature vector from an input image representative of an iris by means of a neural network, characterized in that it can be trained end-to-end and comprises the implementation by data-processing means of a client of steps of: (a) Segmentation of the input image representative of the iris by means of a first subnetwork in order to obtain an iris segmentation map, a pupil segmentation map and an attention map; (b) Extraction by a second subnetwork of the neural network of a feature vector from the normalized image representative of the iris segmented by a normalization operation, characterized in that it is derivable.

Abstract: A device (1) for delivering a signal switching from a first state to a second state, comprising: a primary circuit (4) generating a primary signal; and a secondary circuit (6) configured to: when the primary signal is initialized to the second state upon power-up, initialize a ring counter (16) to a random value in a finite sequence including a reference value, change the value of the first ring counter (16) by running through the first finite sequence in a circular fashion, and deliver at an output (3): i) a secondary signal in the first state, when the value of the first counter is different from the reference value, and ii) the primary signal, when the value of the first counter is equal to the reference value.

Abstract: The invention relates to a pixel matrix of a thermal pattern sensor comprising several rows and several columns of pixels, said matrix comprising: an active thermal element formed by a thermosensitive material disposed between a lower layer and an upper layer, the lower layer being constituted by a plurality of first tracks made of electrically conductive material and extending along a first direction, said first tracks forming pixel columns; a heating element, disposed on the active thermal element and forming a serpentine path, said heating element being constituted by a plurality of second tracks (L1, L2, L3, L4, L5, L6) made of electrically conductive material and connecting segments (w1, w2, w3, w4, w5, w6) made of electrically conductive material connected to the ends of the second tracks (L1, L2, L3, L4, L5, L6), said second tracks (L1, L2, L3, L4, L5, L6) extending in a second direction different from the first direction and forming lines of pixels, the second tracks being connected except for the

Abstract: Innovative aspects of the subject matter described in this specification can be embodied in a portable biometric capture system. In one example, a portable biometric capture system includes a case, a telescoping stand, a camera housing, and a power source. The case includes wheels and a carry handle. The telescoping stand has a first end and a second end. The first end of the telescoping stand is coupled to a surface within an interior of the case by a first pivotable joint. The camera housing is coupled to the second end of the telescoping stand by a second pivotable joint. The power source is installed within the interior of the case and electrically connected to a wiring that is routed to the camera housing through a channel within the telescoping stand.

Abstract: A list of possible mated minutiae in a reference fingerprint and a search fingerprint is identified. The list of possible mated minutiae is divided into different groups of mated minutiae using pose grouping based on rigid transformation parameters. For each group, the possible mated minutiae are filtered to get a set of consistent mated minutiae pairs having similar rigid transformation. The topological consistency between groups is determined. If any two groups are topologically consistent to each other, they are merged to form a (virtual) larger group. A non-linear transformation parameters are estimated from the mated minutiae in the merged group. The overall similarity of mated and non-mated minutiae in the overlapping area is determined after non-linear alignment of the two fingerprints, and the maximum similarity is output as the final similarity score between two fingerprints.

Abstract: The present invention relates to a method for extracting features of interest from a fingerprint represented by an input image, the method being characterized in that it comprises the implementation, by data processing means (21) of a client equipment (2), of steps of: (a) Estimation of at least one candidate angular deviation of an orientation of said input image with respect to a reference orientation, by means of a convolutional neural network, CNN; (b) Recalibration of said input image as a function of said estimated candidate angular deviation, so that the orientation of the recalibrated image matches said reference orientation; (c) Processing said recalibrated image so as to extract said features of interest from the fingerprint represented by said input image.

Abstract: Described is a system (SY) comprising a card (DV1) and a peripheral device (DV2) configured to cooperate together to enable a biometric print to be acquired. The smartcard (DV1) includes a biometric print sensor (10) and a control module for transmitting control signals (SG) to the peripheral device (DV2), each control signal (SG) being defined by a respective single level of an electrical characteristic. Apart from a possible internal power supply, the peripheral device (DV2) may include passive components only, including a user interface (20) configured to put itself into a predetermined state in response to each received control signal (SG), so as to guide a user in acquiring a biometric print by means of the biometric print sensor (10).

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: The invention proposes a method for an object (1) to communicate with a server (2) of a connected objects network to report that a clone may be impersonating the object in the network, which method comprises the following steps implemented by the object (1): transmitting (106) to the server (2) a request from the object (1) to join the connected objects network; after transmitting the join-request, detecting (110) whether a reference message (uplink) transmitted by the object (1) to the server (2) was rejected or ignored; in response to the detection, transmitting (114) to the server (2) an alert message indicating the rejection or ignoring.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a data capture application of a computing device that receives image data for an image of a document and uses the image data to capture content on the document while minimizing glare at the document. The data capture application receives user input for positioning an image token provided for display to a user of the data capture application. Positioning the image token causes adjustment of an attribute value of the image data. In response to receiving the user input the data capture application determines whether the attribute value of the image data satisfies a predefined attribute value. Based on the attribute value satisfying the predefined attribute value, the data capture application generates a composite image of the document using the image data received by the data capture application.

Abstract: The invention refers to a computer-implemented method of analyzing video data to identify affiliates of an object of interest, the method comprising: identifying a plurality of occurrences of the object of interest in the video data; determining a set of potential affiliates for the object of interest from a plurality of other objects in the video data based on a criterion of closeness between the object of interest at each occurrence and each other object; analyzing the set of potential affiliates to obtain a similarity score for each potential affiliate at each occurrence from the plurality of occurrences, each similarity score indicating a degree of similarity with respect to a selected reference potential affiliate in the set of potential affiliates; and identifying a potential affiliate as an affiliate of the object of interest based on the similarity scores.

Abstract: A device for identifying a bag (100), the device comprising a bag support and at least one acquisition member for acquiring images of the bag along at least two shooting directions that are inclined relative to each other, the acquisition member being connected to an image processing computer unit (2) programmed to control the acquisition member and to extract characteristics representative of the baggage from the images.

Abstract: A one-piece optical element (1) consisting of a material transparent to light, comprising a diaphragm (5) formed in the mass of said transparent material, the diaphragm (5) comprising an orifice consisting of said transparent material, suitable for the passage of light through said orifice, and a screen consisting of said transparent material surrounding said orifice (6), said screen opposing the passage of light therethrough and being formed by a succession of modified layers formed of the transparent material, separated from each other, and having a modified refractive index different from the refractive index of the transparent material in the rest of the optical element.

Abstract: The present invention concerns a method for securing data transmitted by a data source (2) of a connected object (1) against attacks affecting a control circuit (4) of the connected object (1), the connected object (1) also comprising an electronic signature circuit (6) and a communication bus (8) connected to the control circuit (4), connected to the electronic signature circuit (6) and connected to the source (2), wherein the method comprises the following steps implemented by the electronic signature circuit (6): detecting (602) a first datum (M) transmitted by the source (2) on the communication bus (8); detecting (606) a second datum (M?) to be signed, on the communication bus, the second datum having been transmitted (404) by the control circuit (4) on the communication bus (8) after detection of the first datum (M) by the control device (4); verifying (608) coherence between the detected data (M, M?), signalling (610) an error (E), if any, as a function of a result of the verification.