Upcoming Events

The Norwegian Biometrics Forum (NBF) is an open platform dedicated to regular exchange of information and experience related to the field of Biometrics. The target of the group is the interdisciplinary discussion between research, technology developers, data privacy experts, governmental agencies and operators of Biometric Systems. In the regular meetings new applications, latest research results and products are presented.

For the past two decades, researchers have been working to fulfil the promise of ECG biometrics. While face can be stolen at a distance and fingerprints are left everywhere, the electrocardiogram would be the hidden secret to fight spoofing and counterfeiting. We just needed to develop systems as accurate, robust, and unobtrusive as those available for more developed traits. However, after twenty years and plenty of literature, we still aren’t there yet. Acquisition setups have never been more comfortable, deep learning brought us the most sophisticated models, and databases are unprecedentedly large and complete. So, what’s missing? This is the question João aims to answer in this talk, as he walks through the history of ECG biometrics and discuss future possibilities.

Curriculum vitæ

João Ribeiro Pinto received his M.Sc. in Bioengineering (field of Biomedical Engineering) from the University of Porto in 2017, with a thesis on the use of the electrocardiogram (ECG) for biometric recognition of vehicle drivers. He is currently pursuing his Ph.D. degree in Electrical and Computer Engineering at the same university, focused on the use of ECG, face, and other data for seamless and continuous biometric recognition and wellbeing monitoring, especially for drivers/passengers inside intelligent vehicles. João has co-authored over thirty publications in biometrics and several other topics related to machine learning and pattern recognition, which have been cited over three hundred times by his peers.

A 2-day programme will cover subjects such as: remote biometrics, inconsistencies in the current proposal, the European Commission’s expectation from the standardisation activity, JTC1 and ISO/IEC 9868.

Sponsor of this event:

Digital face manipulation has become a thriving topic in the last few years, especially after the popularity of the term DeepFakes. Traditionally, the number and realism of digital face manipulations have been limited by the lack of sophisticated editing tools, the domain expertise required, and the complex and time-consuming process involved. Nowadays, it is becoming increasingly easy to manipulate pictures and videos, thanks to: the accessibility to large-scale public data and the evolution of deep learning techniques. As a result, open software and mobile applications opened the door to anyone to create fake images and videos, without any experience in the field.

The EAB organizes this two day virtual event with The Handbook “Digital Face Manipulation and Detection” as guideline. The workshop will feature presentations by the authors of this Handbook. They combine both biometrics and media forensic fields. The event is aimed at everyone who is interested in digital face manipulation from the point of view from both academic institutions and industry.

The aim of the event is to inform about this topic, and to give a well-rounded understanding of the current developments, as well as to discuss how to detect face manipulations, and current and future challenges in digital face manipulation.

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.

Sponsor of this event:

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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.

The IFPC 2022, takes place virtually, from November 15 until 17, 2022. The IFPC focuses on all technical factors affecting the deployment and use of high performance face recognition applications, including applications,standards, quality assessment,human aspects,demographic aspects, demographic effects, age and ageing effects, presentation attack detection, morphing datasets, their preparation, training and tuning, non-cooperative uses, accuracy measurement, and performance tests.

With support of the Department of Homeland Security's Science and Technology Directorate, the conference aims to assemble speakers from all over the world involved in face recognition development, procurement, deployment as well as operations. The main aim of the IFPC is to bring greater maturity to face recognition by improving performance, transparency and trustworthiness.Furthermore, during this event,speakers have the opportunity to present proposals for technical or policy presentations which address problems that might influence face recognition operations and applications.The IFPC focuses on improving relevant factors concerning face recognition, including performance, transparency and trustworthiness.