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: 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: 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: 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: 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: 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: 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.

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: 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: The invention relates to a device for the biometric acquisition and processing of an image of a part of the human body with dermatoglyphs, comprising a contact surface (3) configured so that the part of the human body is affixed to this contact surface (3), a light source (4) configured to project onto the part of the human body a light pattern having a sinusoidal modulation of light intensity in a main direction with a target frequency, an imager (2) configured to acquire an image, and an automated data processing system (7) configured to implement a fraud detection method and a biometric identity recognition method using a periodic component parameter representative of an amplitude of a sinusoidal oscillation of light intensity in the acquired image in accordance with the main direction at the target frequency.

Abstract: The invention refers to a computer-implemented method of analyzing security documents having visible information and at least one of infrared and ultraviolet detectable information, the method comprising the steps of: receiving visible-color data of a first set of pixels of a first region of the security document in a first image of the security document and feeding the visible-color data to a convolutional neural network, CNN; receiving infrared, IR, and/or ultraviolet, UV, data of a second and/or third set of pixels of a respective second and/or third region in a respective second and/or third image of the security document and feeding the IR and/or UV data to the CNN; analyzing the visible-color data of the first set of pixels using the CNN to extract characteristics of the security document from the visible information; and analyzing the IR and/or UV data of the second and/or third set of pixels using the CNN to extract characteristics of the security document from the IR and/or UV information.

Abstract: A method for recognizing characters in an image of a document having at least one alphanumeric field. The method includes the steps of enhancing an image contrast to highlight the characters in the image; detecting contours of objects in the image to create a mask that highlights the characters; segmenting the image using a tree with connected components and applying the mask thereto in order to extract the characters from the image; performing a character recognition on the extracted objects. A device for implementing the method.

Abstract: A method of deblurring an observed image acquired by an image sensor in order to determine an observable image corresponding to the deblurred observed image. The observable image and the observed image each are formed by a set of pixels defined by at least one numerical value. The method involves expressing the observable image as a solution minimizing a Tikhonov functional defined by the observed image, applying a spreading function at the point of the image sensor and applying a wavelet transform operator. The Tikhonov functional is expressed as a sum of at least two terms. The method further involves determining the observable image by implementing an iterative projection algorithm released on a closed convex, at each iteration of which, the successive application of a projection operator associated with each of the terms of the Tikhonov functional.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving mission specific data. Converting the mission specific data into attribute classes recognizable by image recognition classifiers, where the image recognition classifiers are pre-trained to detect objects corresponding to the attributed classes within digital images. Obtaining, from a wearable camera system, low resolution images of a scene and high resolution images of the scene. Detecting, within the low resolution images using a low resolution image classifier, an object that corresponds to one of the attribute classes. In response to detecting the object that corresponds to one of the attribute classes, providing, for presentation to a user of the wearable camera system by a presentation system, an first alert indicating a potential detection of the suspect, and providing the high resolution images to a high resolution image classifier.

Abstract: Challenge-response authentication process of a secure element (SE) in a micro controller unit (MCU) devoid of a random number generator. The process includes the following steps conducted by the micro controller unit (MCU): receipt of at least one random datum (T, IDX) generated randomly by the secure element (SE), generation of a challenge datum (Z) specific to the micro controller unit (MCU) from the received random datum (T, IDX), sending of the generated challenge datum (Z) to the secure element (SE), receipt of a response datum (R) generated by the secure element (SE) as a function of the challenge datum (Z), and determination of an authentication result as a function of the received response datum.