Idemia Identity & Security France

Idemia Identity & Security

Morpho

Laurent Kazdaghli

Guy Mabyalaht

Cedric Thuillier

Cédric Thuillier

Emilie Niaf

Lauriane Couturier

Matthieu Darbois

Anthony Cazasnoves

Iana Iatsun

Sebastien Bronsart

Sébastien Bronsart

A method for generating an image of a palm based on a first partial image of a palm of the individual and on a second partial image of a palm including detecting first characteristic points in the first image and second characteristic points in the second image, generating a plurality of pairs of characteristic points by matching first characteristic points with second characteristic points, computing an overall geometric transformation associated with said matching, determining a local geometric transformation for each pair of points, and merging the first image with the second image as a function of the overall geometric transformation and of the local geometric transformations, in order to generate the palm image.

Method for generating a palm image based on partial images of a palm

An evaluation method of a biometric identification function implemented from a candidate biometric data set and a reference biometric data set, the biometric identification function, applied to a candidate biometric data item and a reference biometric data item, returning a match, the method comprising steps of:

Bias evaluation of a biometric identification function

A method for extracting a signature of a fingerprint shown on a source image is described. For this purpose, the source image is transformed into the frequency domain. One or more ridge frequencies are next determined by means of a convolutional neural network applied to said transformed image, n being an integer greater than or equal to 1. The source image is normalized in response to said n ridge frequencies determined. One or more signatures of said fingerprint are finally extracted from said n normalized images.

Method for extracting a signature of a fingerprint and device implementing said method

A method of detecting at least one element of interest visible on an input image, by means of a convolutional neural network, CNN, the method comprises the steps of:

Method of detecting at least one element of interest visible in an input image by means of a convolutional neural network

A method for detecting at least one biometric trait visible in an input image, by means of a convolutional neural network, the method wherein it comprises the implementation, by data processing means of a client, of steps of: (a) Generating, by means of a feature extraction block of said CNN, a plurality of representation vectors each defining a candidate region of interest of said input image potentially containing a biometric trait, the representation vector of a candidate region of interest comprising at least one position value of the candidate region of interest, at least one size value of the candidate region of interest, an orientation value of the candidate region of interest, and an objectivity score of the candidate region of interest; (b) Selecting, by means of a filtering block of said CNN, at least one region of interest from said candidate regions based on the representation vectors thereof.

Method for detecting at least one biometric trait visible in an input image by means of a convolutional neural network

The present invention relates to a method for classifying a biometric trait represented by an input image, the method being characterized in that it comprises the implementation, by data processing means () of a client (), of the steps of:

Method for the classification of a biometric trait represented by an input image

The present invention relates to a method of segmenting an input image representing at least one biometric trait, by means of a convolutional neural network, CNN, the method being characterized in that it comprises the implementation, by data processing means () of a client (), of steps of (b) generating, by means of a first subnetwork of said CNN, referred to as a specialization block, a confidence mask associated with a ridge orientation map of the at least one biometric trait represented by said input image, referred to as a RFM mask; said RFM mask being applied to at least the input image so as to obtain a focused input image; (c) segmenting, by means of a second subnetwork of said CNN, referred to as a segmentation block, the focused input image.

Method of segmenting an input image representing at least one biometric trait by means of a convolutional neural network

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 () of a client equipment (), of steps of: (a) Estimation of at least one candidate angular deviation of an orientation of said input image with respect to a reference orientation, by means of a convolutional neural network, CNN; (b) Recalibration of said input image as a function of said estimated candidate angular deviation, so that the orientation of the recalibrated image matches said reference orientation; (c) Processing said recalibrated image so as to extract said features of interest from the fingerprint represented by said input image.

Method of extracting features from a fingerprint represented by an input image

A method of analyzing a fingerprint, the method comprising the step of acquiring a fingerprint image () together with the following steps:

Method of analyzing a fingerprint

A method for obtaining an image of at least one fingerprint from a sequence of images is disclosed. The method comprises a segmentation of images in a sequence of acquired images making it possible to determine regions liable to comprise a fingerprint, a tracking of regions determined along with the sequence of images and a calculation of a confidence mark for each region determined. The confidence mark of a region determined is incremented (or respectively decremented) at each acquired image if the region is present in (or respectively absent from) the image, the increment (or respectively the decrement) being dependent on the predefined image acquisition frequency. Information making it possible to obtain a final image containing fingerprints is generated by the method when a predefined number of regions each having reached a confidence mark at least equal to a predetermined threshold is obtained.

Method for obtaining a fingerprint image

A method for processing an image representing at least one finger supplied by an image sensor of the thin-film transistor type of a fingerprint-capture system is disclosed. The purpose of the method is to modify characteristics of the image so that they correspond to the characteristics of images acquired by a fingerprint-capture system using a CCD or CMOS sensor while preserving relevant information about the image.

Method for processing images of fingerprints

The present invention relates to a method of displaying images implemented by a data processing module able to be connected to a display system comprising at least two display zones (ZA, ZA), said method of displaying images comprising the following steps: &#x2014;displaying of a first image () in a first display zone (ZA) of said display system, &#x2014;displaying of at least one second image () obtained by applying to the first image () at least one image processing algorithm, each second image () being displayed in a second zone (ZA) of said display system, &#x2014;as long as one of said second zones (ZA) displaying one of said second images () is hovered over by a pointer, displaying, in all or part of the first display zone (ZA), of at least one part of said first image to which is applied the at least one processing algorithm making it possible to obtain said second hovered-over image ().

Method of displaying images

The invention relates to a method for processing an image comprising a set of pixels, each pixel being associated with a grey level, the method comprising a step of segmentation of the image to generate a modified image only containing regions of the image having an alternation of bright zones and dark zones at a frequency greater than a minimum frequency, said step of segmentation comprising:

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Courbevoie, France

Laurent Kazdaghli