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 processing an acquired image (IA) showing a structured personal document (D) including a visual inspection zone (VIZ). The method includes determination of a first character string from an automatic reading zone or of barcode type (MRZ) of predetermined format, the first character string representing personalised information specific to the owner of the document (D), generation from the first character string of an intermediate image (IS) showing a second character string representing the same personalised information, detection in the acquired image of a third character string in the visual inspection zone (VIZ), representing the same personalised information, the detection comprising an overall comparison of the intermediate image (IS) with the acquired image, location in the visual inspection zone (VIZ) of a region of interest containing the third character string.

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 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: An image processor device includes a computer processor unit (CPU), at least one memory connected to the CPU, and device for transferring images to the CPU. The memory contains an image-processing program for processing images showing at least one person. The program performs the following operations: detecting at least a face in each image and extracting therefrom a biometric template of the face; for each image, storing in a database an image reference, the biometric template, and if possible context information for the image; comparing the biometric templates corresponding to different image references with one another and associating together the image references for which the comparison has a similarity score greater than a predetermined threshold; and searching for context information corresponding to at least one of the references of the associated images, and if there is corresponding context information, establishing a link between the associated images.

Abstract: A method for processing an acquired image showing a structured personal document (D) including a visual inspection zone (VIZ). The method includes determination of a first character string from an automatic reading zone or of barcode type (MRZ) of predetermined format, the first character string representing personalised information specific to the owner of the document (D), generation from the first character string of an intermediate image (IS) showing a second character string representing the same personalised information, detection in the acquired image of a third character string in the visual inspection zone (VIZ), representing the same personalised information, the detection comprising an overall comparison of the intermediate image (IS) with the acquired image, location in the visual inspection zone (VIZ) of a region of interest containing the third character string.

Abstract: An image processor device includes a computer processor unit (CPU), at least one memory connected to the CPU, and device for transferring images to the CPU. The memory contains an image-processing program for processing images showing at least one person. The program performs the following operations: detecting at least a face in each image and extracting therefrom a biometric template of the face; for each image, storing in a database an image reference, the biometric template, and if possible context information for the image; comparing the biometric templates corresponding to different image references with one another and associating together the image references for which the comparison has a similarity score greater than a predetermined threshold; and searching for context information corresponding to at least one of the references of the associated images, and if there is corresponding context information, establishing a link between the associated images.

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 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: 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: 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: 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 method for determining values of the intrinsic and extrinsic parameters of a camera placed at the edge of a roadway, wherein the method includes: a step of detecting a vehicle passing in front of the camera; a step of determining, from at least one 2D image taken by the camera of the vehicle detected and at least one predetermined 3D vehicle model, the intrinsic and extrinsic parameters of the camera with respect to the reference frame of the predetermined 3D vehicle model or models so that a projection of said or one of said predetermined 3D vehicle models corresponds to said or one of the 2D images actually taken by said camera. A method for determining at least one physical quantity related to the positioning of said camera with respect to said roadway. It concerns systems designed to implement methods. Finally, it concerns computer programs for implementing said methods.

Abstract: A method for recognizing a graphic element of technical function which is printed on a play slip (10) is based on a comparison of images. The content of an area (30) of the slip in which the graphic element is printed, is compared to reference images. The method is compatible with any mode for printing the graphic element on the slip: alphanumeric codes, barcodes, logos, pictures which vary according to the game, etc., but only uses one recognition algorithm. The graphic element which is recognized may be any graphic element of technical function, including a graphic element of useful data, in particular a game code (3) or a game symbol, or a reference graphic element for determining a position of the slip.