Idemia Identity & Security France

Idemia Public Security France

Vincent Despiegel

Herve Chabanne

Anouar Mellakh

Florence Guillemot

Dora Csillag

Maxime Thiebaut

Damien Sevat

Renaud Gandara

Linda Guiga

Christelle Maria France Baudry

Christelle Baudry

A method for checking the identity of a reference individual, the method comprising the following steps, implemented by a checking device: selecting terminals respectively associated with individuals forming part of a set of individuals whose identities are intended to be checked by the checking device, the individual forming part of the set of individuals; sending, to each of the selected terminals, an input datum associated with the reference individual and a request asking the terminal to implement a first cryptographic processing operation producing an output datum from the input datum and from a private key specific to the individual associated with the terminal; receiving each output datum; and implementing a second cryptographic processing operation producing a check result relating to the reference individual from each output datum.

Identity checking method using user terminals

A method for processing personal data, comprising the steps of: (a) For each reference personal data of a reference personal database, calculating in the encrypted domain a similarity rate of the reference personal data with a candidate personal data; said reference personal database being associated with a first partition into a plurality of first sets of reference personal data, and with a second partition into a plurality of second sets of reference personal data, such that each reference personal data of a reference personal database belongs to a single first set and a single second set; (b) For each first set and each second set, calculating an overall similarity rate of said set based on the similarity rates of the reference personal data of said set; (c) Comparing each overall similarity rate of a first and second set with a first and second predetermined threshold, respectively.

Method and system for processing personal data

A method for comparing a first and a second databases to determine whether an individual is represented by both an element of the first database and an element of the second database, wherein said elements are biometric data, including the implementation of the steps applying a classification model for each element of each database so as to construct a set of first and second bins of the respective first and second databases, each bin bringing together similar elements, each first bin being associated with a second bin; comparing the elements from the first database for at least one pair of an associated first bin and second bin belonging to said first bin with the elements from the second database belonging to said second bin, at least one of the first and the second databases then being encrypted homomorphically.

Methods for comparing confidential biometric databases

The present invention concerns a method for learning the parameters of a convolutional neural network, CNN, for data classification, the method comprising the implementation of steps by data processing means () of at least one server (), of:

Methods for learning the parameters of a convolutional neural network, and for classifying an input datum

A method for authentication or identification of an individual, comprising the implementation by data processing means () of a terminal () of the following steps: (a) Obtaining of a visible image, an infrared image and a depth image on each of which a biometric feature of said individual appears; (b) Selection of at least one of said visible images, infrared image and depth image depending on the ambient lighting conditions; (c) Detection of said biometric feature of the individual in each image selected; (d) Fusion of the biometric feature(s) detected; and, (e) Authentication or identification of said individual on the basis of the result of the fusion of the biometric feature(s) detected.

Method for authentication or identification of an individual

The present invention relates to a method for learning parameters of a convolutional neural network, CNN, for data classification, the method comprising the implementation, by means for processing data () of a server (), of steps consisting of: The present invention also relates to a method for classifying an input datum.

Methods for learning parameters of a convolutional neural network, and classifying an input datum

A method of secure classification of input data by a convolutional neural network (CNN), including (a) determination, by application of the CNN to the input data, of a first classification vector associating with each of a plurality of potential classes a representative integer score of the probability of the input data belonging to the potential class, the first vector corresponding to one possible vector, each possible vector of the first set associating with each of the plurality of potential classes an integer score; (b) construction, from the first vector, of a second classification vector of the input data, such that the second vector also belongs to the first space of possible vectors and has a distance with the first vector according to a given distance function equal to a non-zero reference distance; and return of the second vector as result of the secure classification.

Method of secure classification of input data by means of a convolutional neural network

The present invention relates to a parameter training method for a convolutional neural network, CNN, for classifying data, the method comprising the implementation by data processing means () of servers () of steps of: The present invention also relates to a method for classifying an item of input data.

A method for processing a stream of video images to search for information therein, in particular detect predefined objects and/or a motion, comprising the steps of:

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Courbevoie, France

Vincent Despiegel