Industrial signal processing
FuSeFe: Fusionierte diskriminierungsfreie Sicherheitsmerkmale für sichere Banknoten
Prof. Dr.-Ing. Volker Lohweg
01.07.2017 bis 30.06.2020
| The FuSeFe research project aims at realising completely new security features for banknotes and other security documents, being more useful to people. The focus is, besides the topic “safe and anonymous cash payment”, on an innovation leap by fusing non-discriminatory security features which can be easily perceived and memorised and which are machine-readable at the same time. As a result, a corresponding high leverage effect will be achieved on security documents’ verifiability, usability, and application. The research group “Discrete Systems” has been working on the research area “Document Security” since 12 years. The topic is integrated in the Institute Industrial IT (inIT). It is to be strengthened as a portfolio strategy. |
This project is promoted by:
Projektträger Jülich
Funding Code: 005-1703-0013
Funding Lines:
NRW. Zeit für Forschung
Stakeholders / Contacts:
Prof. Dr.-Ing. Volker Lohweg
Employees:
Philip Meier, M. Sc.,
Julian Bültemeier, M. Sc.
Philip Meier, M. Sc., Prof. Dr.-Ing. Volker Lohweg
Content Representation for Neural Style Transfer Algorithms based on Structural Similarity
In: Proceedings - 29. Workshop Computational Intelligence, Nov 2019
Philip Meier, M. Sc., Julian Bültemeier, M. Sc., Prof. Dr.-Ing. Volker Lohweg, Prof. Dr. rer. nat. Helene Dörksen, Johannes Schaede
Intaglio Style Transfer – Partially Automating the Intaglio Image Creation
In: Optical Document Security (ODS), Jan 2020
Philip Meier, M. Sc., Prof. Dr.-Ing. Volker Lohweg
pystiche: A Framework for Neural Style Transfer
Spatial control in model-based Neural Style Transfer
In: Proceedings - 32. Workshop Computational Intelligence, Dec 2022
Julian Bültemeier, M. Sc., Philip Meier, M. Sc., Prof. Dr.-Ing. Volker Lohweg
NPRportrait-segmentation
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