| Lehrinhalt |
Biometric recognition technologies have become commonplace. People unlock their phones or laptops using their face or fingerprint. The underlying algorithms are part of the fields of image processing and pattern recognition. Neural networks are essential components in the latest biometric applications. Furthermore, biometrics is a highly controversial area politically, as it touches on issues of privacy and identity. It has a long and difficult history in criminology and colonialism. As a high-risk technology, biometric camera surveillance is also subject to regulations such as the European Union's Artificial Intelligence Act. This course teaches the basics of biometric systems, i.e. components, performance measurements and the design of biometric systems, as well as the technical requirements of various biometric modalities such as fingerprints, faces, irises and speech, and the role of deep learning in pattern recognition. In addition, important topics such as the historical and socio-technical dimensions of biometrics are explored in depth, while issues of biometric security and threat models as well as typical attack vectors are covered as optional extras. Die Prüfungsleistung wird modulbegleitend erbracht. |
