Yannik Schäfer successfully defended his Master Thesis on Improving Demographic Fairness for Biometric Face Recognition Systems With the rise of
Andrii Feduniv successfully defended his Bachelor Thesis on Speaker Recognition for Multi-Factor Authentication
Andrii Feduniv successfully defended his Bachelor Thesis on Speaker Recognition for Multi-Factor Authentication These days, many companies offer their customers
Kacper Marek Zyla successfully defended his Master Thesis on Hand-based Biometrics for Forensic Analysis
Despite the progress made in face and fingerprint, in some forensic scenarios it is not possible to successfully acquire such
COLFISPOOF – A New Database for Contactless Fingerprint Presentation Attack Detection Research
The biometrics and security research group da/sec of Hochschule Darmstadt collected a new database and makes it publicly available to
New project Bio4ensics funded by Hessian Ministry of the Interior and Sport
In the research project „Bio4ensics“, new biometric methods in cyber forensics are being developed to identify perpetrators and victims based
Ahmad Foroughi successfully defended his Master Thesis on Avatar, Caricature and Sketch Face Recognition
Using avatars, caricatures and sketches today is one of the most common ways to show nonverbal cues and expresses more
Gerrit Scheppat successfully defended his Master Thesis
Machine Learning Operations (MLOps), the task of coordinating machine learning projects with multiple models and team members, is growing in
Steffen Karcher successfully defended his Master Thesis
Steffen Karcher successfully defended his Master Thesis on „Evaluation of Protective Measures for Machine Learning on Android“ The use of
Best Poster Paper Award for Marcel Grimmer et al. at BIOSIG 2022
Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra, Kiran Raja, Christoph Busch received the best poster paper award for the contribution of
Sebastian Schachner successfully defended his Bachelor Thesis
Sebastian Schachner successfully defended his Bachelor Thesis on „Auswirkung von Kompression auf die Bildqualität für Gesichtserkennung“ This work compares different