Upcoming Events

The European Entry/Exit System requires “ID Flats” but allows using non-ID Flat (sub FAP60) devices to capture fingerprints. The EAB-members will draft a position paper to give guidance on selecting an appropriate Fingerprint Application Profile for EES.

The proposed schedule for the development of the position paper is as follows:

2021-10-25 - Brainstorming of ideas

2021-10-29 - Deadline for submission of contributions

2021-11-08 - Review of contributions

2021-11-12 - Deadline for submission of comments

2021-11-15 - Disposition of comments

2021-11-22 - Finalisation of the paper

TBD - Publication of the paper on EAB website

Biometric identification is the most prominent and most complex application domain within the scope of the proposed EU AI regulation. The regulation will prohibit certain use cases of AI-/ML-based biometric identification system, and classify others as high-risk. In this seminar Prof. Dr. Oliver Haase will give an overview of the regulation's classification rules, the requirements on high-risks systems, and the procedure for conformity assessment.

Curriculum vitæ

Prof. Dr. Oliver Haase has a background in software engineering and software verification. In recent years he has focused on the regulatory requirements for AI-/ML-based, safety-critical systems. In this capacity, he has helped numerous medical device manufacturers to get their AI-based products into the market. He is a co-founder and managing director of Validate ML GmbH, a company that specialises on the validation of safety-critical ML systems.

Application of convolutional deep networks into face recognition systems reduces some of the problems with face alignment in images that have significant impact on the results in the previously used methods. However large variation in head pose still might be the issue even for modern algorithms. It is natural to think of applying 3D image processing methods to solve the problem of algorithms reliability over pose changes. Solutions based on native 3D data like point clouds and voxel grids can be infeasible because of heavy structures and more difficult to collect databases. One of the recently proposed approaches is to decompose the object into the set of multiview 2D images. For faces, collecting the sets of different view images is also typical for police booking photography. In this talk she will analyze some of the multiview recognition methods, like MVCNN and RotationNet, in application to face identification databases.

Curriculum vitæ

Weronika Gutfeter is a research assistant in Biometric and Machine Intelligence Laboratory of Research and Academic Computer Network (NASK) in Warsaw, Poland. She obtained her Master’s degree in Computer Engineering at Warsaw University of Technology and now she works on her PhD thesis that covers a topic of 3D, semi-3D and multiview face identification. Her research interests include also other computer vision methods like algorithms for human detection in depth and thermal images. In NASK she works on developing machine learning systems for government and public sector.

This workshop will present an update on the latest development on Face Image Quality.

This update will address through talks and panel discussions the following topics:

• current state of the art of face image quality metrics
• experience from stakeholder and requirements
• introduction of training concepts
• testing program (FRVT)
• standardization process

The NIST and the ISO/IEC SC37 WG3 are dedicated to promote ISO/IEC 29794-5.

Co-sponsors of this event:

NIST

ISO/IEC JTC1 SC37

SILVER Sponsor of this event:

Sponsor of this event:

Come, celebrate our 10^th anniversary with us :)

Workshop of the Biometrics Working Group of TeleTrusT, the IT Security Association in Germany

Since the end of 2019, the whole world has been living with the effects of the COVID-19 disease. Due to the airborne nature of the novel coronavirus, the COVID-19 disease has spread rapidly in many countries in a short time and has also been declared a global pandemic. Several preventive measures were implemented to reduce the spread of this disease, including social distancing, wearing face masks, avoiding large crowds, and others.

To help monitor public behavior and compliance with the implemented prevention measures, to gather reliable data for epidemiological models, facilitate authorized access and authentication, ensure safety and security despite the COVID-19 pandemic, it is critical to develop automated machine learning and computer vision based techniques that can help with these tasks. The COVID-19 pandemic has initiated research and development of computer-aided systems that can be used to prevent and monitor not only COVID-19 but also similar diseases that may appear in the future.

The goal of this workshop is to present the most recent and advanced work related to face and gesture analysis in the scope of COVID-19. We are interested in all COVID-19 related studies that focus on the detection of face mask, subjects' behaviors in public areas, analysis of pandemic and preventions-related real-world face and gesture data, prevention control and monitoring systems for unconstrained real-world conditions and related problems.

The xAI4Biometrics Workshop aims at promoting a better understanding, through explainability and interpretability, of currently common and accepted practices in several and varied applications of biometrics. These applications, in scenarios comprising identity verification for access/border control, watching lists surveillance, anti-spoofing measures embedded in biometric recognition systems, forensic applications, among many others, affect the daily life of an ever-growing population.

Back in spring 2011 our Norwegian Biometrics Laboratory (NBL) was established and for the opening we organized a workshop. Since then we have celebrated the NBL Annual Workshops (NBLAW). All the workshops are listed on the NBL homepage.

All times refer to CET.

Workshop of the Biometrics Working Group of TeleTrusT, the IT Security Association in Germany

The 9^th edition of the EAB Research Projects Conference is organized by the European Association on Biometrics (EAB) in cooperation with the Joint Research Center (DG JRC) of the European Commission, through its Cyber and Digital Citizens’ security Unit. The EAB-RPC 2022 will be co-located with the EAB Biometrics Research, Industry and Max-Snijder-Awards and the IEEE BIOSIG Conference, later that same week.

The conference is currently the largest event on research funded by the European Union in the area of Biometrics and Identity Management. Over the previous successful editions, EAB-RPC has become the main forum in Europe where attendees can simultaneously: promote research carried out in biometrics, forge new links and networks, and identify the appropriate partners for possible future project applications. Last year’s edition welcomed over 100 participants from academia, industry and public institutions.

We thank our partners:

All members of EAB are invited to join us for our annual General Assembly.

EAB is launching the sixteenth European Biometric Max Snijder, Research, and Industry Awards. These prestigious awards are granted annually to individuals who have been judged by a panel of internationally respected experts to be making a significant contribution to the field of biometrics research in Europe.