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The research at ARIADNEXT

Why are we doing research ?

ARIADNEXT is among the European leaders in identity verification and is involved in the development of a digital identity on a European scale. Since the creation of the company in 2010, innovation has been a key value. ARIADNEXT has always insisted on carrying out its own in-house R&D to offer solutions that are always at the cutting edge of technology.

Our research team, composed of doctors and engineers specialized in computer science, artificial intelligence, image processing and biometrics, is strongly encouraged to maintain strong links with academic research through the participation in conferences and the publication of articles.

We are convinced that scientific collaboration allows us to go further, and to share our different skills and knowledge to carry out ambitious research projects. We have already participated and coordinated several collaborative research projects, and we are always open to new collaborations.

Our research areas

Nos thématiques de recherche

ARIADNEXT can bring its expertise to your project in the following topics :

  • ID document analysis
  • Biometry (facial recognition, Presentation Attack Detection)
  • Digital identity
  • Optical character recognition (regular documents, ID documents, handwritten characters)
  • Liveness (ID detection, medicine for remote or non-invasive examinations)
  • Deep-fakes detection (fight against fraud, desinformation)
  • Cryptography

Our collaborative research projects

We are working on many collaborative research projects around identity verification and anti-fraud, and we are open to new collaborations.

Projet de recherche SOTERIA

SOTERIA 2021 - 2024

SOTERIA is a European project funded under the research programme Horizon 2020 and coordinated by ARIADNEXT. The objective of this ambitious project gathering 13 partners from 8 countries is to tackle the issue of personal data management for European citizens. With the help of experts in different scientific fields, ARIADNEXT will develop a tool combining the creation of a digital identity with a high-level identification to access online services, and a decentralized data management platform to allow each citizen to be aware of the data shared with the service providers. The solution will be tested at the pilot level thanks to the involvement of three service providers (e-health, e-learning, e-voting). To maximize the acceptability of the platform, social and human science experts together with a consumer association will collect the feedback from the citizens on the proposed system. Finally, the collaboration with law and ethics experts will ensure the compliance of the platform with the European regulations. The project will result in a user-centric, citizen-driven service to protect European citizens’ privacy and personal data.

Projet Fifraud

FIFRAUD – 2021

FIFRAUD is a project funded by the Brittany region, in collaboration with the technological research institute b<>com. It aims to improve the detection of identity fraud, and in particular the cases of recidivism, by keeping track of the controls already performed in the past. To achieve this goal, several technical modules will be developed. ARIADNEXT will be responsible for the modules allowing the detection of repetitions of the same identity element. b<>com will provide and adapt its terminal authentication solution, in order to be able to collect the fingerprint of a user on a web browser or on a cell phone.
This project has a strong potential for ARIADNEXT as these developments could enable the detection of "serial" fraudsters who provide very high quality forged ID documents.


IDECYS+ - 2018/2021

IDESYS+ is the continuation of the IDFRAud and MOBIDEM projects. The objective of this project, financed by the French Fond Unique Interministériel, is to develop a digital identity solution for legal entities, in particular for VSEs/SMEs. Indeed, digital identity solutions for natural persons are gradually multiplying, but they are often complex and cumbersome to implement, which makes them unsuitable for the rapidly changing environment of these small structures. Five companies and a research laboratory are working together to design a solution that is both simple and quick to access, but also highly secure and compliant with current regulations (eIDAS). In particular, IDESYS+ allows substantial or high levels of authentication, without the need of a physical encounter with an operator. It is made possible by a series of "challenges" that the user has to performed when using the service. The authentication is realized, as for MOBIDEM, via the SIM card of the smartphone, to guarantee a flexible and immediate use, while being perfectly secured.

Projet MobilAI

MobilAI – 2018/2020

MobilAI is a project funded by the Brittany region, coordinated by the company Imatag. ARIADNEXT brings its expertise in image analysis for identity verification applications.
The objective of the project is to significantly improve image recognition and analysis on smartphones, in order to be less dependent on network availability and to decrease the storage space. To achieve this objective, recent techniques based on artificial intelligence and deep learning have been used. In particular, an optimization of the neural network architecture involved in image processing has been performed to improve performance in terms of speed and storage space. The results of this project have allowed ARIADNEXT to improve the performance of their mobile SDK at different levels of the identity document verification process.


MOBIDEM – 2016/2019

MOBIDEM is a project financed by the Fond Unique Interministériel. It is coordinated by ARIADNEXT, in partnership with 4 French public and private sector actors.
The eIDAS regulation published in 2014 provided a clear legal framework for electronic signature solutions, and clarified certain aspects that were still unclear. Electronic signatures allow great flexibility and significant time savings, by avoiding the need to travel in person to carry out a signature. However, despite the strong interest in this solution at various levels, the solutions existing prior to the MOBIDEM project were mostly complex to implement, slowing down the generalisation of this type of practice. MOBIDEM aims to develop an easy-to-use and highly secure electronic signature solution based on the eIDAS regulation. The user's authentication is done via the SIM card of his phone, which guarantees simplicity, low cost and wide accessibility.

Projet IDFRAud

IDFRAud – 2015/2018

IDFRAud is a project funded by the French National Research Agency (ANR) and coordinated by ARIADNEXT.
This project, carried out in partnership with academic laboratories and experts in fraud detection, has led to the development of a fully automated technique for verifying identity documents, with the objective to accelerate and improve the security of identity checks. The objective is to be able to perform a reliable check without the need for the presence of an expert in document analysis. The system must also be able to easily adapt to the analysis of new classes of documents. The technological advances developed during the project have been successfully tested in two field experiments organized by the police and by the central and departmental Public Security departments. IDFRAud is at the origin of most of the technological bricks of the product.


ARIADNEXT’contribution to ICIAP 2021

The 21st International Conference on IMAGE ANALYSIS AND PROCESSING (ICIAP21 : will take place in Lecce in Italy between the 23rd and the 27th of May. ARIADNEXT will take the opportunity to present its last technical advances in the field of document analysis. During the oral session (Image Analysis, Detection and Recognition) of the ICIAP21 […]

ICDAR 2021 : 3 contributions from ARIADNEXT

The 16th International Conference on Document Analysis and Recognition (ICDAR 2021) will take place in Lausanne between the 5th and the 10th of September. ARIADNEXT will take the opportunity to present its last technical advances in the field of document analysis.   Identity Document Detection, Classification and Cropping1   One of the main steps of […]

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