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: 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: 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: 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.

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: 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: 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.

Abstract: A parameter training method for a convolutional neural network, CNN, for detecting items of interest visible in images by a data processor of at least one server. The method is implemented based on a plurality of training image databases. The items of interest are already annotated, the CNN being a CNN common to the plurality of training image databases and having a common core and a plurality of encoding layers, each one specific to one of the plurality of training image databases. The method is also for detecting items of interest visible in an image.

Abstract: The invention relates to a method of face detection and determination of face pose from a three-dimensional mesh comprising the steps of: determining (200) a curvature map of the three-dimensional surface, according to an average curvature or a Gaussian curvature, detecting (300), within the curvature map, a facial nose tip (B) where the three-dimensional facial surface has a predetermined curvature, determining (400) a face pose defined by coordinates of the nose tip (B) and by three angles of rotation of the face around three axes, delineating a face zone and comparison (450) between the delineated face zone and a reference face template, in order to validate the detection of a real face in the three-dimensional mesh. The invention also relates to a method for checking the identity of an individual, using a frontalized shot of their face obtained via the method for face detection and determination of pose applied to a not necessarily frontalized shot.

Abstract: The present invention relates to a method for association of items of interest visible in a video consisting of a sequence of K images, characterized in that it comprises the implementation by data processing means of a terminal of steps of: association of each item of interest from a first category visible in a kth image of said video with an item of interest from a second category, different from the first category, visible in said kth image; calculation of an association cost for a plurality of pairs of an item of interest from the first category visible in at least one image of the video with an item of interest from the second category visible in at least one image of the video, depending on at least the counters of association of pairs of one item of interest from the first category with one item of interest from the second category; use of a combinatorial optimization algorithm depending on the calculated association costs so as to reassociate each item of interest from the first category visible in sa

Abstract: A method for digital signing of a document using a predetermined secret key. An initial internal state is determined by application to a condensate of the document of a first white box implementation of generation of a main nonce; then a modular sum of the main nonce and of a predetermined constant. The method also determines a first internal state by application to the initial internal state of a first modular arithmetic operation, then of a modular product with exponentiation of the predetermined constant. The method then determines a second internal state by application to said condensate of a second white box implementation of generation of the main nonce; and a second modular arithmetic operation function of the first internal state, of the main signature nonce and of the secret key. It then generates a digital signature of the document from the first internal state and the second internal state.

Abstract: A facial recognition method is disclosed that is executed by a system comprising an image capture device and a light source able to illuminate a face positioned in front of the device. A plurality of images of a face is acquired, the light source producing a different illumination of the face at each image acquisition, and values representing the face from the plurality of images are extracted. To this aim, a first image of a face is acquired. An SNR value, referred to as the estimated value, of the first image is estimated from a reference SNR value, from image acquisition parameters and from values representing distances between the face and said device. Finally, the estimated value is used in order to determine whether or not the recognition procedure should be executed.

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 (2), of steps of: (a) Binarization of said input image by means of a convolutional neural network, CNN, in such a way as to generate an image called binary; (b) Processing said binary image so as to extract said features of interest from the fingerprint represented by said input image.

Abstract: A biometric recognition method comprising the step of calculating a similarity score between a candidate biometric vector and a reference biometric vector, at least one of the two biometric vectors being quantified.