Abstract: A method for detecting a document fraud is disclosed. A first image of a first document and a second image of a second document are obtained. A procedure of detection of zones sensitive to document frauds are applied in the regions of the first image and of the second image registered on the first image. Each sensitive zone detected is then divided into a plurality of subparts. A measurement of dissimilarity is calculated between corresponding subparts from the first image and the registered second image. It is then determined whether the first document is identical to the second document from measurements of dissimilarity. If the first document is different from the second document, a level of difference is determined between the first and second documents according to a value representing a proportion of different subparts; and a fraud is detected when the level of difference is below a third predetermined threshold.

Abstract: A method for detecting a document fraud is disclosed. A first image of a first document and a second image of a second document are obtained. A procedure of detection of zones sensitive to document frauds are applied in the regions of the first image and of the second image registered on the first image. Each sensitive zone detected is then divided into a plurality of subparts. A measurement of dissimilarity is calculated between corresponding subparts from the first image and the registered second image. It is then determined whether the first document is identical to the second document from measurements of dissimilarity. If the first document is different from the second document, a level of difference is determined between the first and second documents according to a value representing a proportion of different subparts; and a fraud is detected when the level of difference is below a third 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 invention relates to a method for analyzing a structured document likely to be deformed from a first image and a second image of the document, comprising steps of: matching first points of interest extracted in the first image with second points of interest of a reference image showing a model of the document, estimation of a first geometric transformation taking account of deformations of the structured document shown in the first image relative to the model from the matches, determination of at least one first region to be analyzed in the first image, by projection of at least one reference region of the reference image by means of the first transformation, analysis of the content of the first determined region, matching third points of interest extracted in the second image with fourth points of interest extracted in the first image, estimation, from the matches made in the preceding step, of a second geometric transformation taking account of deformations of the document shown in the second image r

Abstract: 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.

Abstract: 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.

Abstract: The tracking method comprises, for at least a first image of the text having at least a first line of characters: applying a prediction of a movement to which the text is subjected between the first image and a second image of the video stream, the movement prediction being applied to at least one second line of characters of the second image; determining at least one alignment hypothesis for aligning the first line with the second line after applying the movement prediction; estimating for each alignment hypothesis, a geometrical transformation between the first line and the second line resulting in that alignment; and evaluating a character match metric for each alignment hypothesis, the metric being evaluated from signatures calculated on the characters of at least one line of the first image and signatures calculated on the characters of at least one line of the second image put into correspondence with the characters of said at least one line of the first image after applying the geometrical transform

Abstract: A device for use in identifying or authenticating a subject positioned in an acquisition volume on the basis of at least one biometric characteristic of the subject, the device including in succession, in offset manner along a camera placement axis: a first camera; a second camera; and a third camera; the optical axes of the first and second cameras forming between them an angle strictly less than 10°, and the optical axis of the third camera intersecting the optical axes of the first and second cameras, the optical axes of the first and second cameras each forming an angle less than or equal to 5° relative to a normal axis perpendicular to the camera placement axis.

Abstract: A device for use in identifying or authenticating a subject positioned in an acquisition volume on the basis of at least one biometric characteristic of the subject, the device including in succession, in offset manner along a camera placement axis: a first camera; a second camera; and a third camera; the optical axes of the first and second cameras forming between them an angle strictly less than 10°, and the optical axis of the third camera intersecting the optical axes of the first and second cameras, the optical axes of the first and second cameras each forming an angle less than or equal to 5° relative to a normal axis perpendicular to the camera placement axis.

Abstract: A device for use in identifying or authenticating a subject positioned in an acquisition volume on the basis of at least one biometric characteristic of the subject, the device including in succession, in offset manner along a camera placement axis: a first camera; a second camera; and a third camera; the optical axes of the first and second cameras forming between them an angle strictly less than 10°, and the optical axis of the third camera intersecting the optical axes of the first and second cameras, the optical axes of the first and second cameras each forming an angle less than or equal to 5° relative to a normal axis perpendicular to the camera placement axis.

Abstract: The invention relates to a method for analyzing a structured document likely to be deformed from a first image and a second image of the document, comprising steps of: matching first points of interest extracted in the first image with second points of interest of a reference image showing a model of the document, estimation of a first geometric transformation taking account of deformations of the structured document shown in the first image relative to the model from the matches, determination of at least one first region to be analyzed in the first image, by projection of at least one reference region of the reference image by means of the first transformation, analysis of the content of the first determined region, matching third points of interest extracted in the second image with fourth points of interest extracted in the first image, estimation, from the matches made in the preceding step, of a second geometric transformation taking account of deformations of the document shown in the second image r

Abstract: This invention relates to a method for identifying a sign on an image of a document that can be deformed comprising: an acquisition (E1) of said digital image of said document; a determination (E2) in the acquired image of at least one candidate sign region using an image segmentation algorithm, for each candidate sign region, a calculation (E3) of a signature comprising a piece of information concerning the location in the acquired image of said candidate sign region and a region descriptor concerning the local characteristics of the image in said region, an identification (E4) of a sign on the image of the document using the calculated signatures comprising jointly a comparison (E41) of the calculated signatures with reference signatures concerning sign regions of document models, said comparison being carried out according to a geometric deformation model of said document, and an estimation (E42) according to said comparison of said geometric deformation model.

Abstract: Provided is a method/system for taking, by an imaging device, one or more images of an object or a part of an object presented at a distance in front of the imaging device, the object being illuminated by a lighting system. The method/system may include: estimating a 3D model of the object as it will be at a predetermined time when taking the image by the imaging device; simulating, using the estimated 3D model, the illumination of the object as it will be at said time to obtain estimated images of the object in respectively a plurality of envisaged lighting modes of the lighting system; selecting a lighting mode of the lighting system from the estimated images; and controlling the lighting system to be in the selected lighting mode; and controlling the imaging device, at the time of the taking of the image of the object, to effect the taking.

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 determining an apparent colour 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 colour value in the reference model, the projection using the geometric distortion model; and determining an apparent colour value of the pixels of the subpart, from a colour value of at least one pixel of the reference zone.

Abstract: 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.

Abstract: Provided is a method/system for taking, by an imaging device, one or more images of an object or a part of an object presented at a distance in front of the imaging device, the object being illuminated by a lighting system. The method/system may include: estimating a 3D model of the object as it will be at a predetermined time when taking the image by the imaging device; simulating, using the estimated 3D model, the illumination of the object as it will be at said time to obtain estimated images of the object in respectively a plurality of envisaged lighting modes of the lighting system; selecting a lighting mode of the lighting system from the estimated images; and controlling the lighting system to be in the selected lighting mode; and controlling the imaging device, at the time of the taking of the image of the object, to effect the taking.

Abstract: The tracking method comprises, for at least a first image of the text having at least a first line of characters: applying a prediction of a movement to which the text is subjected between the first image and a second image of the video stream, the movement prediction being applied to at least one second line of characters of the second image; determining at least one alignment hypothesis for aligning the first line with the second line after applying the movement prediction; estimating for each alignment hypothesis, a geometrical transformation between the first line and the second line resulting in that alignment; and evaluating a character match metric for each alignment hypothesis, the metric being evaluated from signatures calculated on the characters of at least one line of the first image and signatures calculated on the characters of at least one line of the second image put into correspondence with the characters of said at least one line of the first image after applying the geometrical transform

Abstract: This invention relates to a method for identifying a sign on an image of a document that can be deformed comprising: an acquisition (E1) of said digital image of said document; a determination (E2) in the acquired image of at least one candidate sign region using an image segmentation algorithm, for each candidate sign region, a calculation (E3) of a signature comprising a piece of information concerning the location in the acquired image of said candidate sign region and a region descriptor concerning the local characteristics of the image in said region, an identification (E4) of a sign on the image of the document using the calculated signatures comprising jointly a comparison (E41) of the calculated signatures with reference signatures concerning sign regions of document models, said comparison being carried out according to a geometric deformation model of said document, and an estimation (E42) according to said comparison of said geometric deformation model.

Abstract: A device for use in identifying or authenticating a subject positioned in an acquisition volume on the basis of at least one biometric characteristic of the subject, the device including in succession, in offset manner along a camera placement axis: a first camera; a second camera; and a third camera; the optical axes of the first and second cameras forming between them an angle strictly less than 10°, and the optical axis of the third camera intersecting the optical axes of the first and second cameras, the optical axes of the first and second cameras each forming an angle less than or equal to 5° relative to a normal axis perpendicular to the camera placement axis.