Biometrics and Internet Security Research Group | dasec
Karina Knudsen defended her Master Thesis on Improving Fingerprint Presentation Attack Detection using Deep Learning and Computer Vision The purpose of this thesis is to explore different options that can help improve the performance of fingerprint presentation attack detection (FPAD)
Mathias Ibsen defended his Master Thesis on Impact of Facial Tattoos on Face Recognition Systems Biometric systems are widely used for automated recognition of individuals based on their biological and behavioural characteristics. A popular biometric approach is face recognition which
Marcel Grimmer defended his Master Thesis on Unknown Fingerprint Presentation Attack Detection Using Convolutional Autoencoders The increasing popularity of biometric authentication systems simultaneously raises privacy and security issues. Among other vulnerabilities, presentation attacks (PAs) that are directed to the
Alexandru-Cosmin Vasile defended his Master Thesis on Evaluation of Deep Learning Methods for Fingerprint Presentation Attack Detection The usage of biometric systems for automating identification and verification of individuals represents an increasing trend. It is critical that the security of
Alexander Röttcher defended his Master Thesis on: Finding the suitable Doppelgänger for a Face Morphing Attack Passports, membership cards, or other ID cards often have one thing in common: A facial image is printed on the card and electronically provided
The increased use of biometrics due to interest and acceptance have necessitated the development of accurate and efficient systems. This development is relevant to deal with large-scale systems whose usage have a trajectory to be increased further in the futures
Abstract: Biometric recognition systems provide a reliable and automatic way for users to authenticate themselves since they do not need to remember a password or carry a token. However, since biometric data are considered personal and sensitive data, privacy issues
Abstract: Speaker recognition is an emerging biometric field for areas in IT-security, such as online banking, access control, call center user validation, and consumer electronics. Speaker recognition is interesting due to the universal presence of microphones in mobile devices, and
Abstract: People store more and more sensitive data on their phone and use it for sensitive services such as banking or e-commerce. To protect their personal data the phone has to ensure a certain level of security. Most often methods
MP4 File Carving (in cooperation with Fraunhofer SIT) Reconstruction of files from a storage medium without utilization of file system information is a conventional technique deployed to extract hidden or lost sets of data. Common so-called file carving algorithms, which