Lieuwe Jan Spreeuwers

1990 …2020
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Fingerprint Dive into the research topics where Lieuwe Jan Spreeuwers is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Face recognition Engineering & Materials Science
Biometrics Engineering & Materials Science
Classifiers Engineering & Materials Science
Image quality Engineering & Materials Science
Image resolution Engineering & Materials Science
Cameras Engineering & Materials Science
Palmprint recognition Engineering & Materials Science
Experiments Engineering & Materials Science

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Research Output 1990 2020

10 Downloads (Pure)

A High-Quality Finger Vein Dataset Collected Using a Custom-Designed Capture Device

Veldhuis, R., Spreeuwers, L., Ton, B. & Rozendal, S., 1 Jan 2020, Handbook of Vascular Biometrics. Uhl, A., Busch, C., Marcel, S. & Veldhuis, R. (eds.). Springer, p. 63-75 13 p. (Advances in Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Open Access

A high resolution pressure sensor for measurement of grip force

Spreeuwers, L. & Wang, H., 28 May 2019. 7 p.

Research output: Contribution to conferencePaper

Open Access
Pressure sensors
Printed circuit boards

A Layer-Based Sequential Framework for Scene Generation with GANs

Turkoglu, M. O., Spreeuwers, L., Thong, W. & Kicanaoglu, B., Feb 2019. 9 p.

Research output: Contribution to conferencePaper

Chemical analysis
7 Downloads (Pure)

Combined training strategy for low-resolution face recognition with limited application-specific data

Zeng, D., Spreeuwers, L., Veldhuis, R. & Zhao, Q., 9 Sep 2019, In : IET Image Processing. 13, 10, p. 1790-1796 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

Face recognition
Neural networks

Finger-vein Pattern Recognition Based on ICP on Contours

Normakristagaluh, P., Spreeuwers, L. & Veldhuis, R. N. J., 28 May 2019, 2019 Symposium on Information Theory and Signal Processing in the Benelux. Callebaut, G., Verniers, K. & Cox, B. (eds.). Leuven: Katholieke Universiteit Leuven, p. 97-101 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

Open Access
Pattern recognition


Face recognition
Mathematical models
Fusion reactions
Electrical engineering