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ir. F.F. de Wit (Florens)

Researcher

Expertise

Medicine & Life Sciences
Deep Learning
Facial Recognition
Machine Learning
Arts & Humanities
Methodology
Roman Emperor
Engineering & Materials Science
Benchmarking
Composite Materials
Face Recognition

Publications

Recent
de Wit, F. F. , Spreeuwers, L. , & Zeinstra, C. G. (2022). Biometric Testing: aligning standards and practice. 26-32. Paper presented at 42nd WIC Symposium on Information Theory and Signal Processing in the Benelux, SITB 2022, Louvain-la Neuve, Belgium.
Ramesh, D. S., Heijnen, S., Hekster, O. , Spreeuwers, L. , & de Wit, F. (2022). Facial recognition as a tool to identify Roman emperors: towards a new methodology. Humanities and Social Sciences Communications, 9(1), Article 78. https://doi.org/10.1057/s41599-022-01090-y
Raja, K., Ferrara, M., Franco, A. , Spreeuwers, L., Batskos, I. , de Wit, F. F., Gomez-Barrero, M., Scherhag, U., Fischer, D., Venkatesh, S., Mohan Singh, J., Ramachandra, R., Rathgeb, C., Frings, D., Seidel, U., Knopjes, F. , Veldhuis, R. N. J., Maltoni, D., & Busch, C. (2021). Morphing Attack Detection - Database, Evaluation Platform and Benchmarking. IEEE transactions on information forensics and security, 16, 4336-4351. Article 9246583. https://doi.org/10.1109/TIFS.2020.3035252, https://doi.org/10.1109/TIFS.2020.3035252

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Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 4057
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4057
P.O. Box 217
7500 AE Enschede
The Netherlands

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