Biometrics and Internet Security Research Group | dasec
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
Nowadays the entire world is made smaller than ever before, meaning that traveling across the globe has been made easy and convenient. Furthermore the process of traveling is being made even more convenient with the introduction of automated border control
The Academic/Industry Round Table, organized by Dr. Carlos Vaquero (Cirrus Logic) and Prof. Nicholas Evans (EURECOM), placed emphasis on: challenges and evaluations, dynamics of the collaboration (role of Academy and Industry), deep learning and its impact on how we collaborate,
The Speaker Odyssey 2018 is the core conference of the speaker recognition and language recognition community. The Best Paper Award board announced three best paper awards assessing the criteria: Novelty/Contribution to the speaker recognition community Paper evaluation by its reviewers
Bundesforschungsministerin Anja Karliczek hat am Montag (23.) gemeinsam mit dem Hessischen Minister für Wissenschaft und Kunst, Boris Rhein, das Darmstädter Kompetenzzentrum CRISP besucht. Die Hochschule Darmstadt (h_da) treibt innerhalb des Zentrums für Cybersicherheits-Forschung maßgeblich das Thema Identity Management voran. Das
Fingerprints are one of the most used biometric characteristics. They are used in a wide range of applications, as the identification of subjects is within a database. Therefore, the fingerprints need to be compared against those stored in the database,
For his Bachelor thesis entitled „Automatic detection of glasses in ocular images“ Florian Struck won the second place in the annual prize of the department of computer sciences at Hochschule Darmstadt. In these days there is a large number of
Soft biometric traits, e.g. gender or eye colour, can be effectively used to assist traditional biometric recognition systems. The facial region is a particularly rich source of such features. The goal of this project was to implement an API framework
This thesis evaluates the impact of eye diseases on biometric verification, considering the drop in accuracy of recognition they can cause and the concerns about the privacy of the individuals. Therefore the database of the Warsaw University of Technology, which
Sergey Isadskiy defended his Master thesis on „Biometric Information Protection in i-vector Feature Space“ The protection of biometric information is of utmost relevance for the data privacy of biometric subjects. Targeting voice biometrics with dual-use application scenarios, such as in