ISO/IEC SC 37 meets in Okayama, Japan

15 Januar 2024

Between January 8 and 12, 2024, the ISO/IEC SC 37 on biometrics met in Okayama, Japan. Fruitful discussions lead to the advancement of different projects, including the revision of ISO/IEC TR 29794-5:2010 on face image quality, which will be soon become a full standard. In addition, the revision cycle of ISO/IEC 30136:2018 on performance testing of biometric template protection schemes was kicked-off, with Marta Gomez-Barrero as editor of the project.

Aktuelles

IEEE IWBF 2025 in Munich!

The BioML Lab will host the 2025 IEEE International Workshop on Biometrics and Forensics (IWBF 2025) on April 24-25, 2025, in Munich (Germany).

Welcome to BioML, Osman Demir!

On March 2024, Osman Demir joined the BioML Lab to pursue his PhD and do research on attack detection and privacy protection in biometric recognition systems.

The revision of ISO/IEC 30136 has started!

Biometric Template Protection (BTP) remains a very important topic for operational biometric systems. The revision of ISO/IEC 30136 Performance testing of biometric template protection schemes has started, being Marta Gomez-Barrero the project's editor. At BioML, we are looking forward to the integration of the unlinkability testing methodology.

Welcome to BioML, Erik Trolliet!

On February 2024, Erik Trolliet joined the BioML Lab to pursue his PhD and do research on the generation of synthetic biometric samples and how to use them to enhance biometric recognition systems.

WIFS 2023 in Nürnberg

The IEEE International Workshop on Information Security and Forensics (WIFS), was co-organised by Christian Riess (FAU) and Marta Gomez-Barrero on December 4 to 7, 2023, un Nürnberg

We are hiring!

We are looking for a PhD student in computer science on the topic of biometric template protection.The aim is to develop new algorithms to improve privacy protection in biometric recognition systems based on the state of the art in both biometric recognition (e.g. deep learning architectures) and modern cryptography (post-quantum cryptography, differential learning).