Biometrics and Internet Security Research Group | dasec
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.
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