Biometrics and Internet Security Research Group | dasec
The current funding for CRISP (BMBF and HMWK) and further third party funded projects (e.g. from BMBF, BSI, industry) allows us to employ motivated and outstanding staff members to work on their PhD in the area of IT security. Ten good reasons for
Andreas Nautsch, former member of the da/sec research group, successfully defended his dissertation „Speaker Recognition in Unconstrained Environments“ at TU Darmstadt on the 10th of October. First examiner: Prof. Dr. rer. nat. Max Mühlhäuser Second examiner: Prof. Dr.-Ing. Christoph Busch
Am Montag, 14.10.2019, ist Dr. Jessica Steinberger mit dem Preis der besten Dissertation vom Fachbereichstag Informatik (FBTI) ausgezeichnet worden. Der Preis wurde im Rahmen eines Festaktes in der Aula der Hochschule Trier übergeben. Die Laudatio hielt der Promotionsbetreuer seitens der
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.
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
Pawel Drozdowski of the da/sec group received a best poster award for the contribution of „On the Application of Homomorphic Encryption to Face Identification“ at the 18th International Conference of the Biometrics Special Interest Group (BIOSIG 2019), which took place
Hatim Dali defended his Master Thesis on: a video-based approach on contactless fingerprints Fingerprints are among the most widely used biometric features and are an integral part of today’s life. Since the technologies used have been developed steadily over the
Claudia-Ioana Satnoianu defended her Master Thesis on Face Recognition, Effects and Detection of Beautification Applications The goal of this MSc thesis is to analyze the impact beautification apps can have on face recognition systems and to see if detection systems
Clemens Brockschmidt defended his Bachelor Thesis on Hand and Finger Detection based on Machine Learning Touchless fingerprint recognition is a topic widely approached by researchers because of the ability to scan multiple fingers at the same time, ease of use,
CRISP scientists (P. Drozdowski, Dr. C. Rathgeb, Prof. Dr. C. Busch) from Hochschule Darmstadt investigated the topic of efficient biometric identification from both the academic and industry perspective. The work was conducted in the context of LOEWE-3 sponsored project BioBiDa
Together with international experts, CRISP scientists from Hochschule Darmstadt and TU Darmstadt investigated privacy protection schemes for speaker recognition applications. The paper entitled „Preserving privacy in speech and speech characterization“, was worked out as part an extensive and interdisciplinary collaboration