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: 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: 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: 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: 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: 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: The present disclosure relates to a computer-implemented method for supplementing video material, the method comprising: controlling a display device to display a first video, associated with a first camera and retrieved from a storage device; analyzing the first video to automatically detect at least one camera, in particular located in an area of interest; and controlling the display device to display a second video associated with a second camera among the detected at least one camera in response to a user input.

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: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for liveness detection are disclosed. In one aspect, a method includes the actions of capturing video data that includes multiple video frames that each include a representation of a face of a user while activating multiple light sources according to a predetermined lighting pattern. The actions further include, for each of the multiple video frames that each include the representation of the face of the user, analyzing the representation of the face of the user in the respective video frame and the respective predetermined lighting pattern active during capture of the respective video frame. The actions further include, based on analyzing the representation of the face of the user in the respective video frame and the respective predetermined lighting pattern, determining whether the face of the user is that of a live person or a static image.

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: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining, by a pixelation device, an arrangement of pixels for generating representations of data for a document; adjusting, by an increment module and based on the arrangement of pixels, an optical density of one or more pixels included in the arrangement; associating, by the pixelation device, a plurality of distinct types of credential data with one or more line patterns included in the arrangement of pixels; and generating, by the pixelation device, multiple line patterns at a document, the multiple line patterns encoding the plurality of distinct types of credential data.

Abstract: A method for reconstructing an imprint image, from a set of image portions, includes the steps of: extracting, from each image portion, a set of local points of interest and, for each point of local interest, calculating a descriptor vector that characterizes said point of local interest; for each pair of two image portions, evaluating a local interest points association score representative of a probability that the two image portions are contiguous on the imprint image; assembling the image portions of a best pair to form an assembled fragment; repeating the above steps by replacing each time, in the set of image portions, the two image portions of the best pair, until all the association scores of the remaining pairs are less than or equal to a predetermined threshold, and producing an assembly map of the image portions; merging the image portions to reproduce the imprint 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.

Abstract: Method for acquiring a fingerprint, performed by a device comprising an active thermal sensor when it is electrically supplied at a distance by a terminal, said sensor comprising a plurality of pixels, each pixel comprising a pyroelectric capacitor which, when it is subjected to a variation in temperature, generates electrical charges, each pixel being associated with a heating element adapted for heating said pixel and being connected to a reading circuit able to measure the electrical charges generated by said capacitor. The method relies on a taking into account of the heating element received by each pixel of said sensor (33, 34) in order to determine when said pixel is able to provide (36) a signal that can be used for generating information representing a part of a fingerprint.

Abstract: The present invention concerns a terminal (1) comprising a frame (10), a touchscreen (11), a glass panel (12) protecting the touchscreen (11), an outer shell (13), characterized in that successively gripped between the frame (10) and the shell (13) there are: a first seal (14a), a peripheral region (120) of the glass panel (12), and a second seal (14b); and in that the touchscreen (11) is arranged between a central portion (121) of the glass panel (12) and the frame (10), the touchscreen (11) being secured to only one from among the frame (10) and the glass panel (12). The present invention also concerns a process for manufacturing the terminal.

Abstract: Disclosed is a semi-rigid enrolment case for a smart card, formed by folding and gluing an envelope-like cardboard blank of the dimensions of the card. The case includes an electrical circuit printed directly on the cardboard of an inner surface. The circuit includes contact studs connected to a power supply interface and arranged to connect electrical contacts of the card to the power supply interface when the card is inserted into the case. A biometric sensor of the card remains accessible to the user when it is out of the case for making the enrolment. Through-openings are made in the cardboard on either side of contact stud lines and allow forming independent flexible areas, providing better contact between the studs and the electrical contacts of the card.