Idemia Identity & Security France

Morpho

Idemia Identity & Security

Safran Identity & Security

Idemia Public Security France

Carrus Gaming

Jean Beaudet

Alain Rouh

Joël-Yann Fourre

Laurent Rostaing

Alain Thiebot

Francois Rieul

Alexis Sireta

Jérémy Dura

Baptiste Chu

François Rieul

Pierre Chastel

Elise Le Gouil

Julien Doublet

Joël Yann Fourre

Emine Krichen

Benoit Malrat

Aurélie Moriceau

Joel-Yann Fourre

Michel Cruchaga

Benoît Malrat

A contactless biometric sensor, including an upper face above which, in use, a human body part which has dermatoglyphs is positioned, a lighting source configured to light the human body part through the upper face and an imager configured to acquire an image of the human body part through the upper face. The upper face of the sensor is provided with a mask having spatially variable light transmissivity.

Contactless biometric acquisition sensor and method

A method for biometric identification or authentication is described. An image of a body region is obtained. A truth map for said body region is obtained, said truth map associating, with each portion of a set of portions of said image of a body region, a probability that said portion belongs to a true body region. The image of the body region is then compared with a group of reference biometric data using the truth map. Finally, the identification or authentication of said body region is validated or invalidated in response to said comparison.

Method and device for biometric identification and/or authentication

A dermatoglyph detector includes a detection circuit and an electronic processor unit. The detection circuit includes an electrically conductive thin film in which there are formed both electrodes that are arranged to come into contact with the skin of a portion of a human body and also conductive tracks connecting the electrodes to the processor unit. The processor unit is arranged to determine electrical characteristics of the body portion extending between each pair of electrodes in contact with the skin, and to execute a computer program for acting on the basis of the determined electrical characteristics to distinguish between an authentic body portion and a fake body portion. The detection circuit includes at least two track segments of different shapes between two calibration terminals so as to present an impedance ratio that is not equal to unity.

Dermatoglyph detector

A method for verifying the authenticity of the iris of an eye of a biometric recognition candidate, comprising the step of verifying the flatness of the iris from two images of the iris in different orientations with respect to the image sensor. Optical recognition method and device implementing said method.

Method for biometric recognition from irises

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 () configured so that the part of the human body is affixed to this contact surface (), a light source () 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 () configured to acquire an image, and an automated data processing system () 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.

Biometric acquisition and processing device and method

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.

Facial recognition method

A method and an associated device for detecting fraud during automatic face recognition, the method comprising the following steps: acquiring a first image of the face by means of a first sensor having a first field angle, and a second image of the face by means of a second sensor having a second field angle that is narrower than the first field angle; analyzing the first image to verify that there is no frame around the face; and analyzing the second image to verify that there is no moir&#xe9; effect.

Method and a device for detecting fraud by examination using two different focal lengths during automatic face recognition

The invention relates to a method for authenticating a face presented to a device comprising the steps in which the imager acquires an initial image of a face, the processing unit determines a pose of the face from the initial image, and determines a reference pose and a target position placed randomly or pseudo-randomly in a target space, the screen displays a displayed image () comprising at least one visual orientation mark () initially at a reference position, and a visual target () at the target position, updated by moving the visual orientation mark () according to the successive poses of the face, and the processing unit authenticates the face presented if there is a match between the position of the visual orientation mark () and the target position where the visual target is located ().

Face authentication method

Method for detecting attempted fraud by using an artificial material during a biometric acquisition, including: illuminating, with lighting, a surface of an object having a texture, acquiring a first image of the surface; illuminating, with non-uniform lighting, the surface and acquiring a second image of the surface, the non-uniform lighting causing light to diffuse within the illuminated material at an intensity that varies according to a law that is a function of a first position parameter and is invariable along a second position parameter; computing a correction, varying along the first position parameter, that is to be locally applied to the first image to bring the amplitude of the texture on the first image substantially to the level of that on the second image; generating, on the basis of the correction, information relating to the artificial or non-artificial nature of the material.

Method for detecting a fake fingerprint

A fraud detection method for access control via facial recognition, wherein the following are carried out in the region of a zone where the access control is verified for an individual presenting in the region of the zone: a measure of the weight of the individual, at least one weight sensor being provided on the ground for this purpose; an estimation of the weight of the individual by processing by a computer unit of an image acquired of the face of an individual presenting at the access control; a comparison by the computer unit between the estimated weight and the measured weight and wherein the computer unit triggers or not the sending of a fraud detection signal as a function of the result of this comparison.

Detection of fraud for access control via facial recognition

A device and method, the purpose of which is to secure digital fingerprint reading by sequential optical captures with optimization of the exposures to light. At least one of the illumination and detection parameters is adjusted as a function of the acquisition conditions (physiological condition of the epidermis, exposure to ambient light) owing to the means of control.

Device and method for optical capture at different wavelengths emitted sequentially

A method for determining an apparent color value of pixels corresponding to a subpart of an object in the acquired image, including: estimating a geometric distortion model of the object in the acquired image compared with a reference model of the object; determining a position in the acquired image of the subpart and determining a zone of the acquired image, referred to as the reference zone, situated in a predetermined vicinity of the subpart, each pixel of the reference zone resulting from a projection in the acquired image of a zone of the reference model, referred to as a blank zone, the blank zone being associated with a predetermined color value in the reference model, the projection using the geometric distortion model; and determining an apparent color value of the pixels of the subpart, from a color value of at least one pixel of the reference zone.

Method for determining a colour value of an object in an image

Provided is a method of detecting fraud during use of a device for capturing an imprint of a body part using a principle of total internal reflection with dark field and including a transparent plate on which a body part to be verified is placed. The method includes: using the device to acquire a first imprint image with a lighting of the body part such that the whole surface of the body part in contact with the transparent plate returns light; using the device to acquire a least one second imprint image by illuminating the body part with a single LED; obtaining for each second imprint image an item of information representative of a light level re-emitted by the body part by using each image obtained; and comparing each item of information obtained with a reference item of information to validate that the body part is a true body part.

Method of detecting fraud

The invention provides a method for detecting fraud () during biometric authentication of an individual comprising the acquisition (), by an optical device, of a sequence of candidate images comprising at least two candidate images of an individual, with view to comparing said sequence with a reference image sequence comprising at least one reference image of an individual acquired during a preliminary enrollment step () by the same optical device, the method comprising the steps of:

Method for detecting fraud by pre-recorded image projection

An image correction method includes: estimating a 3D model of an object as when an imaging device takes an image of the object; calculating the light intensity of each point of a simulated image as it would be taken by the imaging device, using the estimated 3D model of the object, a model of illumination of the object illuminated by a lighting system that illuminates the object, a model of reflection on a surface of the object, and a model of the imaging device, to obtain a simulated image of the object; and correcting the taken image by modifying the light intensity of each point on the taken image or on at least one area of interest of the taken image, according to the light intensity of the corresponding point in the simulated image or the respective light intensities of points adjacent to the corresponding point in the simulated image.

Method for correcting an image of at least one object presented at a distance in front of an imaging device and illuminated by a lighting system and an image pickup system for implementing said method

Growing community of inventors

Issy les Moulineaux, France

Jean Beaudet