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 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.

Abstract: A method of detecting fraud during identification by iris recognition, the method comprising the following steps: capturing an image of each eye of a person for identification (50), namely a first image (61) and a second image (71); extracting a first set of first characteristics from the first image (61); extracting a second set of second characteristics from the second image (71); evaluating a correlation coefficient between the first and second characteristics; and as a function of the value of the correlation coefficient, signaling an attempt at fraud or continuing with identification by eye recognition. An identification terminal arranged to perform the method.

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 method of detecting attempted fraud against a system recognising the iris of the human eye includes generation of a first image of an iris using first means of image capture in a visible light spectrum, and generation of a second image of said iris using second means of image capture in a near infra-red spectrum. The method also includes determination of at least one characteristic of the first image as a function of respective optical characteristics of pixels of a plurality of pixels of this first image and determination of at least one characteristic of the second image determined as a function of respective luminous intensities of pixels of a plurality of pixels of this second image. As a function of these determined characteristics, a signal representative of suspected detection of attempted fraud is generated.

Abstract: 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.

Abstract: A method of detecting fraud during identification by iris recognition, the method comprising the following steps: capturing an image of each eye of a person for identification (50), namely a first image (61) and a second image (71); extracting a first set of first characteristics from the first image (61); extracting a second set of second characteristics from the second image (71); evaluating a correlation coefficient between the first and second characteristics; and as a function of the value of the correlation coefficient, signaling an attempt at fraud or continuing with identification by eye recognition. An identification terminal arranged to perform the method.

Abstract: A method for identifying and/or authenticating an individual by a system including a storage device storing at least one binary code of a reference iris and a binary code of an associated reference mask: acquisition of an image of an eye of the individual, segmentation of the acquired image to isolate a region containing the texture of the iris and determine an associated mask, division of the region and the mask into N2 concentric rings, normalization of the region, determination of a binary iris code IC and a binary code of mask IM matching at least one ring of the iris with a ring of the reference iris to minimize a matching distance between the acquired image and the reference image, computation of the minimized matching distance, identification and/or authentication of the individual if the minimized matching distance is less than a predetermined threshold.

Abstract: A method of detecting attempted fraud against a system recognising the iris of the human eye includes generation of a first image of an iris using first means of image capture in a visible light spectrum, and generation of a second image of said iris using second means of image capture in a near infra-red spectrum. The method also includes determination of at least one characteristic of the first image as a function of respective optical characteristics of pixels of a plurality of pixels of this first image and determination of at least one characteristic of the second image determined as a function of respective luminous intensities of pixels of a plurality of pixels of this second image. As a function of these determined characteristics, a signal representative of suspected detection of attempted fraud is generated.

Abstract: The present invention relates to a method for identifying and/or authenticating an individual comprising the following steps performed by a system comprising a storage device storing at least one binary code of a reference iris and a binary code of an associated reference mask: acquisition 101 of an image of an eye of the individual, segmentation 102 of the acquired image of the eye so as to isolate a region containing the texture of the iris and determine an associated mask, division 103 of said region containing the iris texture and of said mask into N2 of concentric rings, normalization 104 of said region containing the texture of the iris and of said mask of Cartesian coordinates in polar coordinates, determination 105 of a binary iris code IC of size equal to N2*P*F and a binary code of mask IM associated by application of F Gabor filters to each position of P positions of each ring, matching 106 at least one ring of the iris of the acquired image with a ring of the reference iris so as to minimize a ma