- Richter, R., Thai, D.H., Gottschlich, C., Huckemann, S.F.
(2021).
Filter Design for Image Decomposition and Applications to Forensics. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision (Eds.: Chen. K., Schönlieb, C.-B.,Tai, X.-C., Younes, L.), Springer, 1--28. - Richter, R., Gottschlich, C., Mentch, L., Thai, D.H., Huckemann, S.F.
(2019).
Smudge Noise for Quality Estimation of
Fingerprints and its Validation. IEEE Transactions on Information Forensics & Security, 14 (8), 1963--1974. - Markert, K., Krehl, K., Gottschlich, C., Huckemann, S. F. (2019).
Detecting Anisotropy in Fingerprint Growth. Journal of the Royal Statistical Society, Series C arXiv 1801.06437, 68(4), 1007 - 1027. - Düring,B., Gottschlich, C., Huckemann, S., Kreusser, L. M., Schönlieb, C.-B.
(2019).
An Anisotropic Interaction Model for Simulating Fingerprints. Journal of Mathematical Biology arXiv:1711.07417, 78 (7), 2171-2206. - Imdahl, C., Gottschlich, C., Huckemann, S.,Ohshika, K. (2018).
Möbius moduli for fingerprint orientation fields
Journal of Mathematical Imaging and Vision arXiv 1708.02158, 60, 651-660. - Schrieber, J., Schuhmacher, D., Gottschlich, C. (2017).
DOTmark - A Benchmark for Discrete Optimal Transport. IEEE Access, 5, 271 - 282. - Gottschlich, C., Tams, B., Huckemann, S. (2017).
Perfect fingerprint orientation fields by locally adaptive global models. IET Biometrics, 6 (3), 183--190. - Thai, D.H., Gottschlich, C. (2016).
Global Variational Method for Fingerprint Segmentation by Three-part Decomposition IET Biometrics, 5:2, 120-130. - Gottschlich, C. (2016).
Convolution Comparison Pattern: An Efficient Local Image Descriptor for Fingerprint Liveness Detection PLoS ONE, 11(2), e0148552. - Thai, D.H., Gottschlich, C. (2016).
Directional Global Three-part Image Decomposition EURASIP Journal on Image and Video Processing, 2016:12, 1-20. - Thai, D.H., Huckemann, S., Gottschlich, C. (2016).
Filter Design and Performance Evaluation for Fingerprint Image Segmentation. PLoS ONE, 11(5), e0154160. - Gottschlich, C., Mikaelyan, A., Olsen, M.A., Bigun, J., Busch, C. (2015).
Improving Fingerprint Alteration Detection Proc. Image and Signal Processing and Analysis (ISPA), 83-86. - Eltzner, B., Wollnik, C., Gottschlich, C., Huckemann, S., Rehfeldt, F. (2015).
The Filament Sensor for Near Real-Time Detection of Cytoskeletal Fiber Structures PLoS ONE, 10 (5), e0126346. - Imdahl, C., Huckemann, S., Gottschlich, C. (2015).
Towards generating realistic synthetic fingerprint images Proc. Image and Signal Processing and Analysis (ISPA), 78-82. - Oehlmann, L., Huckemann, S., Gottschlich, C. (2015).
Performance Evaluation of Fingerprint Orientation Field Reconstruction Methods. Proc. International Workshop on Biometrics and Forensics , 1-6. - Gottschlich, C., Marasco, E., Yang, A.Y., Cukic, B. (2014).
Fingerprint Liveness Detection based on Histograms of Invariant Gradients. Proc. IEEE International Joint Conference on Biometrics, 1-7. - Gottschlich, C., Schuhmacher, D. (2014).
The Shortlist Method for Fast Computation of the Earth Mover's Distance and Finding Optimal Solutions to Transportation Problems. PLoS ONE, 9(10), e110214. - Gottschlich, C., Huckemann, S. (2014).
Separating the Real From the Synthetic: Extended Minutiae Histograms as Fingerprints of Fingerprints. IET Biometrics, 3(4), 291-301. - Gottschlich, C. (2012).
Curved-Regions-Based Ridge Frequency Estimation and Curved Gabor Filters for Fingerprint Image Enhancement IEEE Transactions on Image Processing, 21(4), 2220-2227. - Gottschlich, C., Schönlieb, C.-B. (2012).
Oriented Diffusion Filtering for Enhancing Low-quality Fingerprint Images IET Biometrics, 1(2), 105-113. - Hotz, T., Gottschlich, C., Lorenz, R., Bernhardt, S., Hantschel, M., Munk, A. (2011).
Statistical Analyses of Fingerprint Growth. BIOSIG 2011 - Proceedings - International Conference of the Biometrics Special Interest Group, 08.-09. September 2011 in Darmstadt, Germany. Lecture Notes in Informatics, P-191, 11-20. - Gottschlich, C., Hotz, T., Lorenz, R., Bernhardt, S., Hantschel, M., Munk, A. (2011).
Modeling the Growth of Fingerprints Improves Matching for Adolescents IEEE Transactions on Information Forensics and Security, 6, 1165-1169. - Gottschlich, C., Mihailescu, P., Munk, A. (2009).
Robust Orientation Field Estimation
in Fingerprint Images with Broken Ridge Lines Proc. Image and Signal Processing and Analysis (ISPA), 529-533. - Gottschlich, C., Mihailescu, P., Munk, A. (2009).
Robust Orientation Field Estimation and
Extrapolation Using Semilocal Line Sensors IEEE Transactions on Information Forensics and Security, 4(4), 802-811.
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