Steinbeis Transfer Center BISE - Biometrics
Schöfferstr. 8b
64295 Darmstadt
Germany
64295 Darmstadt
Germany
- Phone: +49 6151 533-60090
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Management:
- Prof. Dr. Christoph Busch
Services
- Consulting
Key Areas
- Biometrics
- Image Processing
- Machine Learning
- IT-Security
- Data Privacy/Privacy Enhancing Technology
- Standardisation
Project Examples
- BTAP: The Biometric Transaction Authentication Protocol (BTAP)
Solves a basic problem of nowadays online banking: how to realize a person and transaction data authentic protocol in a potentially insecure environment. Furthermore the requirement to use biometrics in online banking scenarios to reach a strong link of the biometric trait with the intended transaction data, is fulfilled in BTAP. At the same time the biometric information is sealed in a privacy preserving way and cannot be extracted by any party. BTAP offers two important features of a security protocol: low complexity and strong modularization. - MAD: Morphing Attack Detection (MAD)
Recent research found that attacks based on morphed face images, i.e., morphing attacks, pose a severe security risk to face recognition systems. A reliable morphing attack detection remains a research challenge since cameras and morphing techniques used by an attacker are unknown at the time of classification. These issues are commonly overseen while many researchers report encouraging detection performance for training and testing morphing attack detection schemes on images obtained from a single face database employing a single morphing algorithm. In this work, a morphing attack detection system based on the robustness and generalization capabilities is developed. - SOTAMD: State of the art of Morphing Detection
The objective of the SOTAMD project is to identify the state-of-the-art of morphed face image detection mechanisms by collecting in a distributed effort a dataset of morphed face images, for which image quality according to ICAO and EU Regulation 2252/2004 is ensured. Furthermore the project will evaluate the existing morphed face image detection mechanisms based on a common established benchmark protocol and morphed face image detection metrics. The project will focus on the scenario of differential morphing detection, where a bona fide facial image (captured in a trusted environment) is compared against the target of investigation (e.g. the printed image in the passport application process) in a signal to signal analysis mode. The project will mimic the automated border control gate scenario, where the live face image of the gate is compared against the suspected image in the chip of the passport. - BioBida: Biometrics and Big Data
With the recent rapid growth of biometric systems’ sizes and popularity, technologies supporting efficient and accurate processing of large amounts of biometric data are sought for. The goal of this project is the development of efficient algorithms and datastructures for biometric identification, which can perform search queries on large biometric datasets in real-time, while simultaneously facilitating biometric data protection. - RESPECT: reliable, secure and privacy preserving multi-biometric person authentication
This Franco-German collaborative project, explores the potential of using multi-biometrics as a means to defend against diverse Presentations attacks and improve generalisation while still preserving privacy. Central to this idea is the use of (i) biometric characteristics that can be captured easily and reliably using ubiquitous smart devices and, (ii) biometric characteristics which facilitate computationally manageable privacy preserving, homomorphic encryption. The objectives of the project are to simultaneously ensure both security protection and privacy preservation. At the same time, recognition accuracy and reliability will be improved, thereby boosting confidence in future multi-biometric audio-visual recognition technologies and realising their societal and economic benefits.