Trustworthy, Reliable and Unbiased Methods for Biometric Recognition

Edited by:

Ana F. Sequeira: PhD, INESC TEC Porto & University of Porto, Portugal
Marta Gomez-Barrero: PhD, Universität der Bundeswehr München, Germany
Naser Damer: PhD, Fraunhofer Institute for Computer Graphics Research IGD, Germany

Submission Status: Open | Submission Deadline: 30 April 2024

EURASIP Journal on Image and Video Processing is calling for submissions to our Collection on Trustworthy, Reliable and Unbiased Methods for Biometric Recognition

Image Credits:© Grafissimo / Getty Images / iStock

For the past two decades, the International Conference of the Biometrics Special Interest Group (BIOSIG) has focused on the use of biometrics to provide efficient and reliable solutions to recognize individuals.

Alongside with the significant evolution observed in the methods and areas of application, there has been an increase of risk factors such as identity theft and miss-use incidents. Additionally, there are growing concerns about security and privacy. To guarantee trustworthiness of person authentication, these methods are required to provide high accuracy and reliability, interoperability, scalability, and usability.

This special issue welcomes works focusing on topics of biometric recognition, fostering efficiency of the biometric recognition processes allied with reliability, bias mitigation and privacy preserving measures, comprising the listed below but not limited to. Authors of selected papers presented at the BIOSIG 2023 conference are invited to submit extended versions to this Special Issue. We are also inviting original research works focused on biometrics and the promotion of their methods’ transparency and trustworthiness.

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Meet the Guest Editors

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Ana F. Sequeira: PhD, INESC TEC Porto & University of Porto, Portugal

Ana F. Sequeira has a PhD in Electrical and Computers Engineering and a Degree and a Master in Mathematics. Ana’s research is based in fundamental computer vision and machine learning and comprises presentation attack detection techniques (for iris, face and fingerprint); biometric recognition for border control; as well as facial analysis topics, such as emotion recognition, image compliance with standardisation requirements, interpretability of AI for biometrics, among others. In particular, her research has focused on biometric applications in challenging scenarios in use cases such as border control or transactions on mobile devices. Currently, Dr.Sequeira is a researcher at INESC TEC and in the past was a post-doctoral research assistant at the University of Reading, UK, where she worked on two European biometrics projects for border control (FASTPASS -FP7 312583- and PROTECT -H2020 700259). In addition, Dr.Sequeira collaborated with the company IrisGuard UK to evaluate the iris recognition based technology for monetary transactions on mobile devices -EyePay Technology. This work comprised the test of its vulnerabilities to presentation attacks and the development of a proof of concept of a robust detection method that led to a prototype of the system. Dr. Sequeira led the construction of several biometric databases; managed biometric competitions focusing on iris spoofing, multimodal recognition and iris/periocular cross-spectral recognition and has co-authored several research publications recognised by her peer with citations.

Marta Gomez-Barrero: PhD, Universität der Bundeswehr München, Germany

Marta Gomez-Barrero is a Research Professor for IT-Security with a focus on biometric recognition at the Hochschule Ansbach, Germany. Between 2016 and 2020, she was a postdoctoral researcher at the National Research Center for Applied Cybersecurity (ATHENE) - Hochschule Darmstadt, Germany. Before that, she received her MSc degrees in Computer Science and Mathematics (2011), and her PhD degree in Electrical Engineering (2016), all from Universidad Autonoma de Madrid, Spain. She is general chair of the BIOSIG conference and has served for several conferences (e.g., IJCB, IWBF, EUSIPCO) and journals (e.g., IEEE TIFS, IEEE TPAMI, IEEE TBIOM, IET BMT, Elsevier PR). Further, she is Co-Chair of the European Association for Biometrics Academic SIG, associate editor for the EURASIP Journals on Information Security and on Image and Video Processing, Member of the IARP TC4 Conference Committee, the IEEE Biometrics Council Security and Privacy Technical Committee, and the IEEE Information and Forensics Technical Committee, and represents the German Institute for Standardisation (DIN) in ISO/IEC SC37 JTC1 SC37 on biometrics. She currently coordinates the ANR-DFG project RESPECT and was actively involved in the EU projects SOTAMD, BATL, and TABULA RASA. She has co-authored more than 90 technical publications in the field of biometrics, and her current research focuses on security and privacy evaluations of biometric systems (PAD, BTP). She has also received a number of distinctions, including: EAB European Biometric Industry Award 2015, Best Ph.D. Thesis Award by Universidad Autonoma de Madrid 2015/16, Archimedes Award for young researches from Spanish MECD, Best Paper Award at WIFS 2021, Odyssey 2018 and ICB 2015, and Best Poster Award at ICB 2013.

Naser Damer: PhD, Fraunhofer Institute for Computer Graphics Research IGD, Germany

Naser Damer received the Ph.D. degree in computer science from TU Darmstadt in 2018. He is a Senior Researcher with Fraunhofer IGD. He is a Research Area Co-Coordinator and a Principal Investigator with the National Research Center for Applied Cybersecurity ATHENE, Germany. He lectures on Human and Identity-Centric Machine Learning with TU Darmstadt, Germany. His main research interests lie in the fields of biometrics and human-centric machine learning. He serves as an Associate Editor for Pattern Recognition (Elsevier), the Visual Computer (Springer), and the IEEE Transactions on Information Forensics and Security. He represents the German Institute for Standardization (DIN) in the ISO/IEC SC37 International biometrics Standardization Committee. He is a member of the organizing teams of several conferences, workshops, and special sessions, including being the program co-chair of BIOSIG and a member of the IEEE Biometrics Council serving on its Technical Activities Committee.

About the Collection

For the past two decades, the International Conference of the Biometrics Special Interest Group (BIOSIG) has focused on the use of biometrics to provide efficient and reliable solutions to recognize individuals.

Alongside with the significant evolution observed in the methods and areas of application, there has been an increase of risk factors such as identity theft and miss-use incidents. Additionally, there are growing concerns about security and privacy. To guarantee trustworthiness of person authentication, these methods are required to provide high accuracy and reliability, interoperability, scalability, and usability.

This special issue welcomes works focusing on topics of biometric recognition, fostering efficiency of the biometric recognition processes allied with reliability, bias mitigation and privacy preserving measures, comprising the listed below but not limited to. Authors of selected papers presented at the BIOSIG 2023 conference are invited to submit extended versions to this Special Issue. We are also inviting original research works focused on biometrics and the promotion of their methods’ transparency and trustworthiness.

The BIOSIG conference, reaching 23 editions in 2024, has been a reference in the area promoting innovative research. This Collection will allow the authors of relevant papers to expand their works and reach a broader audience.

Topics of interest:

Biometric standards and interoperability
Ethical, legal and socio-technological aspects of Biometric Systems
Security, Trustworthiness and Fairness of Biometric Systems or components
Privacy-enhancing biometrics: template security and cancellable biometrics
Bias detection and mitigation techniques in Biometric Recognition Systems and Presentation Attack Detection Methods
Robustness, reliability and accountability of Biometric Recognition Systems and Presentation Attack Detection Methods
Robustness and interpretability of PAD such as Morphing Attack Detection or Deep Fake Detection
Biometric Systems for Security and Privacy: border control; ID documents; e-transactions; large scale systems for public or private use
Case studies, user studies, and application systems of trustworthy person authentication
Accountability in Applications of Biometrics in Forensics & Law Enforcement
Interpretable/explainable Biometric Systems and Performance Measurement
Multimodal and multi-biometrics

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes the submission of selected papers presented at the BIOSIG 2023 and original research works focused on biometrics and the promotion of their methods’ transparency and trustworthiness.

Before submitting your manuscript, please ensure you have read our submission guidelines. Articles for this Collection should be submitted via our submission system. During the submission process, under the section additional information, you will be asked whether you are submitting to a Collection, please select "Trustworthy, Reliable and Unbiased Methods for Biometric Recognition" from the dropdown menu.

Articles will undergo the journal’s peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.