| Curved-region-based ridge frequency estimation and curved Gabor filters for fingerprint image enhancement C Gottschlich IEEE Transactions on Image Processing 21 (4), 2220-2227, 2012 | 181 | 2012 |
| Fingerprint Liveness Detection based on Histograms of Invariant Gradients C Gottschlich, E Marasco, AY Yang, B Cukic Proc. IJCB 2014, Clearwater, FL, USA., 2014 | 108 | 2014 |
| The Filament Sensor for Near Real-Time Detection of Cytoskeletal Fiber Structures B Eltzner, C Wollnik, C Gottschlich, S Huckemann, F Rehfeldt PLoS ONE 10 (5), e0126346, 2015 | 84 | 2015 |
| Robust orientation field estimation and extrapolation using semilocal line sensors C Gottschlich, P Mihailescu, A Munk IEEE Transactions on Information Forensics and Security 4 (4), 802-811, 2009 | 72 | 2009 |
| Oriented diffusion filtering for enhancing low-quality fingerprint images C Gottschlich, CB Schönlieb IET Biometrics 1 (2), 105-113, 2012 | 71 | 2012 |
| Filter design and performance evaluation for fingerprint image segmentation DH Thai, S Huckemann, C Gottschlich PloS one 11 (5), e0154160, 2016 | 64 | 2016 |
| The Shortlist Method for Fast Computation of the Earth Mover's Distance and Finding Optimal Solutions to Transportation Problems C Gottschlich, D Schuhmacher PLoS ONE 9 (10), e110214, 2014 | 61 | 2014 |
| Modeling the Growth of Fingerprints Improves Matching for Adolescents C Gottschlich, T Hotz, R Lorenz, S Bernhardt, M Hantschel, A Munk IEEE Transactions on Information Forensics and Security 6 (3), 1165-1169, 2011 | 53 | 2011 |
| transport: Computation of optimal transport plans and Wasserstein distances D Schuhmacher, B Bähre, C Gottschlich, V Hartmann, F Heinemann, ... R package version 0.12–2, 2020 | 51 | 2020 |
| Dotmark–a benchmark for discrete optimal transport J Schrieber, D Schuhmacher, C Gottschlich IEEE Access 5, 271-282, 2016 | 48 | 2016 |
| Global variational method for fingerprint segmentation by three‐part decomposition DH Thai, C Gottschlich IET Biometrics 5 (2), 120-130, 2016 | 44 | 2016 |
| Separating the Real From the Synthetic: Minutiae Histograms as Fingerprints of Fingerprints C Gottschlich, S Huckemann IET Biometrics 3 (4), 291-301, 2014 | 40 | 2014 |
| Convolution Comparison Pattern: An Efficient Local Image Descriptor for Fingerprint Liveness Detection C Gottschlich PLoS ONE 11 (2), e0148552, 2016 | 23 | 2016 |
| Perfect fingerprint orientation fields by locally adaptive global models C Gottschlich, B Tams, S Huckemann IET Biometrics 6 (3), 183-190, 2017 | 21 | 2017 |
| An anisotropic interaction model for simulating fingerprints B Düring, C Gottschlich, S Huckemann, LM Kreusser, CB Schönlieb Journal of Mathematical Biology, 2019 | 16 | 2019 |
| Improving Fingerprint Alteration Detection C Gottschlich, A Mikaelyan, MA Olsen, J Bigun, C Busch 9th International Symposium on Image and Signal Processing and Analysis …, 2015 | 15 | 2015 |
| Smudge noise for quality estimation of fingerprints and its validation R Richter, C Gottschlich, L Mentch, DH Thai, SF Huckemann IEEE Transactions on Information Forensics and Security 14 (8), 1963-1974, 2019 | 14 | 2019 |
| transport: Computation of Optimal Transport Plans and Wasserstein Distances, r package version 0.11-1 D Schuhmacher, B Bähre, C Gottschlich, V Hartmann, F Heinemann, ... | 14 | 2019 |
| Directional Global Three-part Image Decomposition DH Thai, C Gottschlich EURASIP Journal on Image and Video Processing 2016 (12), 1-20, 2016 | 13 | 2016 |
| Fingerprint growth prediction, image preprocessing and multi-level judgment aggregation C Gottschlich Niedersächsische Staats-und Universitätsbibliothek Göttingen, 2011 | 11 | 2011 |
Stephan HuckemannProfessor for Non-Euclidean Statistics, University of Goettingen在 math.uni-goettingen.de 的电子邮件经过验证
