In the research project “Bio4ensics”, new biometric methods in cyber forensics are being developed to identify perpetrators and victims based on faces, tattoos and hands. Bio4ensics explores the use of artificial images generated exclusively by computer programmes for AI training.
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 beyond plaintexts. Caricatures are exaggerated images of a person and are used in social networks to ridicule or satirize politicians
Robert Christopher Nichols defended his Bachelor Thesis on Psychophysical Evaluation of Human Performance in Detecting Digital Face Image Manipulations
In recent years, increasing deployment of face recognition technology in security-critical settings, such as border control or law enforcement, has led to considerable interest in the vulnerability of face recognition systems to spoofing attacks utilizing legitimate documents based on digitally
Torsten Schlett defended his Master Thesis on: Enhancement of 3D-Data for Face Recognition Face recognition can benefit from the utilization of depth data, including for presentation attack detection purposes. This work begins with an overview of inexpensive “consumer” depth cameras.
Torsten Schlett defended his Bachelor thesis on 'Multi-spectral Iris Segmentation in visible Wavelengths'
While traditional iris recognition systems operate using near-infrared images, visible wavelength approaches have gained attention in recent years due to a variety of reasons, such as the deployment of iris recognition in consumer grade mobile devices. Iris segmentation, the process