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ORCIDRaymond N. J. Veldhuis
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- affiliation: University of Twente, Enschede, Netherlands
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2020 – today
- 2024
[j72]Gaoli Sang, Dan Zeng, Chao Yan, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
Robust partial face recognition using multi-label attributes. Intell. Data Anal. 28(1): 377-392 (2024)- [j71]Ahmad Hassanpour
, Fatemeh Jamalbafrani, Bian Yang, Kiran B. Raja, Raymond N. J. Veldhuis, Julian Fiérrez:
E2F-Net: Eyes-to-face inpainting via StyleGAN latent space. Pattern Recognit. 152: 110442 (2024) - [j70]Amina Bassit, Florian Hahn, Raymond N. J. Veldhuis, Andreas Peter:
Improved Multiplication-Free Biometric Recognition Under Encryption. IEEE Trans. Biom. Behav. Identity Sci. 6(3): 314-325 (2024) - [j69]Zohra Rezgui, Nicola Strisciuglio, Raymond N. J. Veldhuis:
Gender Privacy Angular Constraints for Face Recognition. IEEE Trans. Biom. Behav. Identity Sci. 6(3): 352-363 (2024) - [c110]Marcel Grimmer, Raymond N. J. Veldhuis, Christoph Busch:
Efficient Expression Neutrality Estimation with Application to Face Recognition Utility Prediction. IWBF 2024: 1-6 - [c109]Lu Liu, Raymond N. J. Veldhuis, Christoph Brune:
Resolution-Invariant Medical Image Segmentation Using Fourier Neural Operators. MIUA (2) 2024: 127-142 - [c108]Zahra Atashgahi, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu:
Adaptive Sparsity Level During Training for Efficient Time Series Forecasting with Transformers. ECML/PKDD (1) 2024: 3-20 - [c107]Zohra Rezgui, Nicola Strisciuglio, Raymond N. J. Veldhuis:
Enhancing Soft Biometric Face Template Privacy with Mutual Information-Based Image Attacks. WACV (Workshops) 2024: 1141-1149 - [i23]Marcel Grimmer, Raymond N. J. Veldhuis, Christoph Busch:
Efficient Expression Neutrality Estimation with Application to Face Recognition Utility Prediction. CoRR abs/2402.05548 (2024) - [i22]Ahmad Hassanpour, Fatemeh Jamalbafrani, Bian Yang, Kiran B. Raja, Raymond N. J. Veldhuis, Julian Fiérrez:
E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent Space. CoRR abs/2403.12197 (2024) - [i21]Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar:
Unveiling the Power of Sparse Neural Networks for Feature Selection. CoRR abs/2408.04583 (2024) - 2023
- [j68]Una M. Kelly, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
De-Identifikation von Gesichtsbildern. Datenschutz und Datensicherheit 47(1): 27-30 (2023) - [j67]Ilias Batskos, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
Visualizing landmark-based face morphing traces on digital images. Frontiers Comput. Sci. 5 (2023) - [j66]Raymond N. J. Veldhuis, Kiran B. Raja:
On the Relation Between ROC and CMC. IEEE Trans. Biom. Behav. Identity Sci. 5(4): 538-552 (2023) - [j65]Zahra Atashgahi, Xuhao Zhang, Neil Kichler, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu:
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - [c106]Tugçe Arican, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
Exploring the Untapped Potential of Unsupervised Representation Learning for Training Set Agnostic Finger Vein Recognition. BIOSIG 2023: 1-6 - [c105]Hatef Otroshi-Shahreza, Amina Bassit, Sébastien Marcel, Raymond N. J. Veldhuis:
Remote Cancelable Biometric System for Verification and Identification Applications. BIOSIG 2023: 1-5 - [c104]Lu Liu, Christoph Brune, Raymond N. J. Veldhuis:
Fourier Descriptor Loss and Polar Coordinate Transformation for Pericardium Segmentation. CAIP (2) 2023: 119-129 - [c103]Ioana Mazilu, Shunxin Wang, Sven Dummer, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio:
Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space. CAIP (2) 2023: 201-211 - [c102]Mahdi Ghafourian, Julian Fiérrez, Luis F. Gomez, Rubén Vera-Rodríguez, Aythami Morales, Zohra Rezgui, Raymond N. J. Veldhuis:
Toward Face Biometric De-identification using Adversarial Examples. COMPSAC 2023: 723-728 - [c101]Nova Hadi Lestriandoko, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
The Impact of Eyebrows Region on Deep Face Recognition. IC3INA 2023: 319-323 - [c100]Amina Bassit, Florian Hahn, Zohra Rezgui, Una M. Kelly, Raymond N. J. Veldhuis, Andreas Peter:
Template Recovery Attack on Homomorphically Encrypted Biometric Recognition Systems with Unprotected Threshold Comparison. IJCB 2023: 1-10 - [c99]Marcel Grimmer, Christian Rathgeb, Raymond N. J. Veldhuis, Christoph Busch:
NeutrEx: A 3D Quality Component Measure on Facial Expression Neutrality. IJCB 2023: 1-8 - [c98]Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio:
What do neural networks learn in image classification? A frequency shortcut perspective. ICCV 2023: 1433-1442 - [c97]Shunxin Wang, Christoph Brune, Raymond N. J. Veldhuis, Nicola Strisciuglio:
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. ICCV (Workshops) 2023: 129-138 - [i20]Mahdi Ghafourian, Julian Fiérrez, Luis Felipe Gomez-Gomez, Rubén Vera-Rodríguez, Aythami Morales, Zohra Rezgui, Raymond N. J. Veldhuis:
Toward Face Biometric De-identification using Adversarial Examples. CoRR abs/2302.03657 (2023) - [i19]Zahra Atashgahi, Xuhao Zhang, Neil Kichler, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu:
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks. CoRR abs/2303.07200 (2023) - [i18]Shunxin Wang, Raymond N. J. Veldhuis, Nicola Strisciuglio:
The Robustness of Computer Vision Models against Common Corruptions: a Survey. CoRR abs/2305.06024 (2023) - [i17]Zahra Atashgahi, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu:
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers. CoRR abs/2305.18382 (2023) - [i16]Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio:
What do neural networks learn in image classification? A frequency shortcut perspective. CoRR abs/2307.09829 (2023) - [i15]Ioana Mazilu, Shunxin Wang, Sven Dummer, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio:
Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space. CoRR abs/2307.15461 (2023) - [i14]Shunxin Wang, Christoph Brune, Raymond N. J. Veldhuis, Nicola Strisciuglio:
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning. CoRR abs/2308.06622 (2023) - [i13]Marcel Grimmer, Christian Rathgeb, Raymond N. J. Veldhuis, Christoph Busch:
NeutrEx: A 3D Quality Component Measure on Facial Expression Neutrality. CoRR abs/2308.09963 (2023) - [i12]Una M. Kelly, Meike Nauta, Lu Liu, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
Worst-Case Morphs using Wasserstein ALI and Improved MIPGAN. CoRR abs/2310.08371 (2023) - 2022
- [j64]Erwin Haasnoot, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
Presentation attack detection and biometric recognition in a challenge-response formalism. EURASIP J. Inf. Secur. 2022(1): 5 (2022) - [j63]Nova Hadi Lestriandoko, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
The contribution of different face parts to deep face recognition. Frontiers Comput. Sci. 4 (2022) - [j62]Christoph Busch, Adam Czajka, Farzin Deravi, Pawel Drozdowski, Marta Gomez-Barrero, Georg Hasse, Olaf Henniger, Els Kindt, Jascha Kolberg, Alexander Nouak, Kiran B. Raja, Raghavendra Ramachandra, Christian Rathgeb, Jean Salomon, Raymond N. J. Veldhuis:
A response to the European Data Protection Supervisor 'Misunderstandings in Biometrics' by the European Association for Biometrics. IET Biom. 11(1): 79-86 (2022) - [j61]Zohra Rezgui, Amina Bassit, Raymond N. J. Veldhuis:
Transferability analysis of adversarial attacks on gender classification to face recognition: Fixed and variable attack perturbation. IET Biom. 11(5): 407-419 (2022) - [j60]Amina Bassit, Florian Hahn, Raymond N. J. Veldhuis, Andreas Peter:
Hybrid biometric template protection: Resolving the agony of choice between bloom filters and homomorphic encryption. IET Biom. 11(5): 430-444 (2022) - [j59]Pesigrihastamadya Normakristagaluh, Geert Jan Laanstra, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
Understanding and modeling finger vascular pattern imaging. IET Image Process. 16(5): 1280-1292 (2022) - [j58]L. B. van den Oever, W. A. van Veldhuizen, Ludo J. Cornelissen, D. S. Spoor, Tineke P. Willems, G. Kramer, T. Stigter, Mieneke Rook, A. P. G. Crijns, Matthijs Oudkerk, Raymond N. J. Veldhuis, Geertruida H. de Bock, Peter M. A. van Ooijen:
Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms. J. Digit. Imaging 35(2): 240-247 (2022) - [j57]Yeshaswini Nagaraj, Hendrik Joost Wisselink, Mieneke Rook, Jiali Cai, Sunil Belur Nagaraj, Grigory Sidorenkov, Raymond N. J. Veldhuis, Matthijs Oudkerk, Rozemarijn Vliegenthart, Peter M. A. van Ooijen:
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation. J. Digit. Imaging 35(3): 538-550 (2022) - [j56]L. B. van den Oever, D. S. Spoor, A. P. G. Crijns, Rozemarijn Vliegenthart, Matthijs Oudkerk, Raymond N. J. Veldhuis, Geertruida H. de Bock, Peter M. A. van Ooijen:
Automatic Cardiac Structure Contouring for Small Datasets with Cascaded Deep Learning Models. J. Medical Syst. 46(5): 22 (2022) - [j55]Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy:
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders. Mach. Learn. 111(1): 377-414 (2022) - [j54]Zahra Atashgahi, Joost Pieterse, Shiwei Liu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy:
A brain-inspired algorithm for training highly sparse neural networks. Mach. Learn. 111(12): 4411-4452 (2022) - [c96]Una M. Kelly, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
Worst-Case Morphs: a Theoretical and a Practical Approach. BIOSIG 2022: 63-71 - [c95]Tugçe Arican, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
Fingers Crossed: An Analysis of Cross-Device Finger Vein Recognition. BIOSIG 2022: 131-140 - [c94]Amina Bassit, Florian Hahn, Raymond N. J. Veldhuis, Andreas Peter:
Multiplication-Free Biometric Recognition for Faster Processing under Encryption. IJCB 2022: 1-9 - [c93]Una M. Kelly, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
Exploring Face De-Identification using Latent Spaces. IJCB 2022: 1-7 - [p1]Luuk J. Spreeuwers, Maikel Schils, Raymond N. J. Veldhuis, Una M. Kelly:
Practical Evaluation of Face Morphing Attack Detection Methods. Handbook of Digital Face Manipulation and Detection 2022: 351-365 - [i11]Zahra Atashgahi, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy:
Memory-free Online Change-point Detection: A Novel Neural Network Approach. CoRR abs/2207.03932 (2022) - 2021
- [j53]Ilias Batskos, Florens de Wit, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
Preventing face morphing attacks by using legacy face images. IET Biom. 10(4): 430-440 (2021) - [j52]Dan Zeng, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
A survey of face recognition techniques under occlusion. IET Biom. 10(6): 581-606 (2021) - [j51]Dan Zeng, Raymond N. J. Veldhuis, Luuk J. Spreeuwers, Richard Arendsen:
Occlusion-invariant face recognition using simultaneous segmentation. IET Biom. 10(6): 679-691 (2021) - [j50]Kiran B. Raja, Matteo Ferrara, Annalisa Franco, Luuk J. Spreeuwers, Ilias Batskos, Florens de Wit, Marta Gomez-Barrero, Ulrich Scherhag, Daniel Fischer, Sushma Venkatesh, Jag Mohan Singh, Guoqiang Li, Loïc Bergeron, Sergey Isadskiy, Raghavendra Ramachandra, Christian Rathgeb, Dinusha Frings, Uwe Seidel, Fons Knopjes, Raymond N. J. Veldhuis, Davide Maltoni, Christoph Busch:
Morphing Attack Detection-Database, Evaluation Platform, and Benchmarking. IEEE Trans. Inf. Forensics Secur. 16: 4336-4351 (2021) - [j49]Amina Bassit, Florian Hahn, Joep Peeters, Tom Kevenaar, Raymond N. J. Veldhuis, Andreas Peter:
Fast and Accurate Likelihood Ratio-Based Biometric Verification Secure Against Malicious Adversaries. IEEE Trans. Inf. Forensics Secur. 16: 5045-5060 (2021) - [j48]Huikai Shao, Dexing Zhong, Xuefeng Du, Shaoyi Du, Raymond N. J. Veldhuis:
Few-Shot Learning for Palmprint Recognition via Meta-Siamese Network. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [c92]Amina Bassit, Florian Hahn, Chris G. Zeinstra, Raymond N. J. Veldhuis, Andreas Peter:
Bloom Filter vs Homomorphic Encryption: Which approach protects the biometric data and satisfies ISO/IEC 24745? BIOSIG 2021: 101-112 - [c91]Shunxin Wang, Una M. Kelly, Raymond N. J. Veldhuis:
Gender Obfuscation through Face Morphing. IWBF 2021: 1-6 - [i10]Amina Bassit, Florian Hahn, Joep Peeters, Tom Kevenaar, Raymond N. J. Veldhuis, Andreas Peter:
Biometric Verification Secure Against Malicious Adversaries. CoRR abs/2101.10631 (2021) - [i9]Una M. Kelly, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
A Face Recognition System's Worst Morph Nightmare, Theoretically. CoRR abs/2111.15416 (2021) - 2020
- [j47]Sunyi Zheng, Xiaonan Cui, Marleen Vonder, Raymond N. J. Veldhuis, Zhaoxiang Ye, Rozemarijn Vliegenthart, Matthijs Oudkerk, Peter M. A. van Ooijen:
Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage. Comput. Methods Programs Biomed. 196: 105620 (2020) - [j46]Sunyi Zheng, Jiapan Guo, Xiaonan Cui, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen:
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection. IEEE Trans. Medical Imaging 39(3): 797-805 (2020) - [c90]Sushma Venkatesh, Raghavendra Ramachandra, Kiran B. Raja, Luuk J. Spreeuwers, Raymond N. J. Veldhuis, Christoph Busch:
Detecting Morphed Face Attacks Using Residual Noise from Deep Multi-scale Context Aggregation Network. WACV 2020: 269-278 - [i8]Sunyi Zheng, Ludo J. Cornelissen, Xiaonan Cui, Xueping Jing, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen:
Efficient convolutional neural networks for multi-planar lung nodule detection: improvement on small nodule identification. CoRR abs/2001.04537 (2020) - [i7]Kiran B. Raja, Matteo Ferrara, Annalisa Franco, Luuk J. Spreeuwers, Ilias Batskos, Florens de Wit, Marta Gomez-Barrero, Ulrich Scherhag, Daniel Fischer, Sushma Venkatesh, Jag Mohan Singh, Guoqiang Li, Loïc Bergeron, Sergey Isadskiy, Raghavendra Ramachandra, Christian Rathgeb, Dinusha Frings, Uwe Seidel, Fons Knopjes, Raymond N. J. Veldhuis, Davide Maltoni, Christoph Busch:
Morphing Attack Detection - Database, Evaluation Platform and Benchmarking. CoRR abs/2006.06458 (2020) - [i6]Dan Zeng, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
A survey of face recognition techniques under occlusion. CoRR abs/2006.11366 (2020) - [i5]Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy:
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders. CoRR abs/2012.00560 (2020)
2010 – 2019
- 2019
- [j45]Yuxi Peng, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
Low-resolution face recognition and the importance of proper alignment. IET Biom. 8(4): 267-276 (2019) - [j44]Nanang Susyanto, Raymond N. J. Veldhuis, Luuk J. Spreeuwers, Chris A. J. Klaassen:
Semiparametric likelihood-ratio-based biometric score-level fusion via parametric copula. IET Biom. 8(4): 277-283 (2019) - [j43]Dan Zeng, Luuk J. Spreeuwers, Raymond N. J. Veldhuis, Qijun Zhao:
Combined training strategy for low-resolution face recognition with limited application-specific data. IET Image Process. 13(10): 1790-1796 (2019) - [c89]Dan Zeng, Raymond N. J. Veldhuis, Luuk J. Spreeuwers, Qijun Zhao:
Likelihood Ratio based Loss to finetune CNNs for Very Low Resolution Face Verification. ICB 2019: 1-8 - [c88]Sushma Venkatesh, Raghavendra Ramachandra, Kiran B. Raja, Luuk J. Spreeuwers, Raymond N. J. Veldhuis, Christoph Busch:
Morphed Face Detection Based on Deep Color Residual Noise. IPTA 2019: 1-6 - [i4]Sunyi Zheng, Jiapan Guo, Xiaonan Cui, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen:
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection. CoRR abs/1904.05956 (2019) - 2018
- [j42]Pinar Santemiz, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
Automatic face recognition for home safety using video-based side-view face images. IET Biom. 7(6): 606-614 (2018) - [j41]Chris G. Zeinstra, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
Grid-Based Likelihood Ratio Classifiers for the Comparison of Facial Marks. IEEE Trans. Inf. Forensics Secur. 13(1): 253-264 (2018) - [c87]Erwin Haasnoot, Ali Khodabakhsh, Chris G. Zeinstra, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
FEERCI: A Package for Fast Non-Parametric Confidence Intervals for Equal Error Rates in Amortized O(m log n). BIOSIG 2018: 1-5 - [c86]Raymond N. J. Veldhuis, Kiran B. Raja, Raghavendra Ramachandra:
A Likelihood Ratio Classifier for Histogram Features. BTAS 2018: 1-8 - [c85]Chris G. Zeinstra, Didier Meuwly, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
Mind the Gap: A Practical Framework for Classifiers in a Forensic Context. BTAS 2018: 1-9 - [c84]Erwin Haasnoot, J. S. Barnhoorrr, Luuk J. Spreeuwers, Raymond N. J. Veldhuis, Willem B. Verwey:
Towards understanding the effects of practice on behavioural biometric recognition performance. EUSIPCO 2018: 558-562 - [c83]Luuk J. Spreeuwers, Maikel Schils, Raymond N. J. Veldhuis:
Towards Robust Evaluation of Face Morphing Detection. EUSIPCO 2018: 1027-1031 - 2017
- [j40]Yuxi Peng, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
Low-resolution face alignment and recognition using mixed-resolution classifiers. IET Biom. 6(6): 418-428 (2017) - [j39]Chris G. Zeinstra, Raymond N. J. Veldhuis, Luuk J. Spreeuwers, Arnout C. Ruifrok, Didier Meuwly:
ForenFace: a unique annotated forensic facial image dataset and toolset. IET Biom. 6(6): 487-494 (2017) - [c82]Ulrich Scherhag, Andreas Nautsch, Christian Rathgeb, Marta Gomez-Barrero, Raymond N. J. Veldhuis, Luuk J. Spreeuwers, Maikel Schils, Davide Maltoni, Patrick Grother, Sébastien Marcel, Ralph Breithaupt, Ramachandra Raghavendra, Christoph Busch:
Biometric Systems under Morphing Attacks: Assessment of Morphing Techniques and Vulnerability Reporting. BIOSIG 2017: 149-159 - [c81]Chris G. Zeinstra, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
How Random Is a Classifier Given Its Area under Curve? BIOSIG 2017: 259-266 - [c80]Chris G. Zeinstra, Raymond N. J. Veldhuis, Luuk J. Spreeuwers, Arnout C. Ruifrok:
Manually annotated characteristic descriptors: Measurability and variability. IWBF 2017: 1-6 - [e2]David Zhang, Gautam Sethi, Raymond N. J. Veldhuis, Yasushi Yagi, Andrew Beng Jin Teoh:
Proceedings of the 2017 International Conference on Biometrics Engineering and Application, ICBEA 2017, Hong Kong, Hong Kong, April 21-23, 2017. ACM 2017, ISBN 978-1-4503-4871-3 [contents] - [i3]Joep Peeters, Andreas Peter, Raymond N. J. Veldhuis:
Fast and Accurate Likelihood Ratio Based Biometric Comparison in the Encrypted Domain. CoRR abs/1705.09936 (2017) - 2016
- [j38]Johannes Kotzerke, Hao Hao, Stephen A. Davis, Robert Hayes, Luuk J. Spreeuwers, Raymond N. J. Veldhuis, Kathy J. Horadam:
Identification performance of evidential value estimation for ridge-based biometrics. EURASIP J. Inf. Secur. 2016: 24 (2016) - [j37]Chris van Dam, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
Face reconstruction from image sequences for forensic face comparison. IET Biom. 5(2): 140-146 (2016) - [c79]Chris G. Zeinstra, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
Discriminating Power of FISWG Characteristic Descriptors Under Different Forensic Use Cases. BIOSIG 2016: 171-182 - [c78]Yuxi Peng, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
Designing a Low-Resolution Face Recognition System for Long-Range Surveillance. BIOSIG 2016: 385-392 - [c77]Nanang Susyanto, Raymond N. J. Veldhuis, Luuk J. Spreeuwers, Chris A. J. Klaassen:
Fixed FAR correction factor of score level fusion. BTAS 2016: 1-8 - [c76]Julian Fiérrez, Stan Z. Li, Arun Ross, Raymond N. J. Veldhuis:
Message from the Program Chairs. ICB 2016: 1 - [c75]Nanang Susyanto, Raymond N. J. Veldhuis, Luuk J. Spreeuwers, Chris A. J. Klaassen:
Two-step calibration method for multi-algorithm score-based face recognition systems by minimizing discrimination loss. ICB 2016: 1-7 - 2015
- [j36]Abhishek Dutta, Manuel Günther, Laurent El Shafey, Sébastien Marcel, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
Impact of eye detection error on face recognition performance. IET Biom. 4(3): 137-150 (2015) - [c74]Johannes Kotzerke, Stephen A. Davis, Robert Hayes, Luuk J. Spreeuwers, Raymond N. J. Veldhuis, Kathy J. Horadam:
Identification performance of evidential value estimation for fingermarks. BIOSIG 2015: 97-107 - [c73]Lisa de Wilde, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
Exploring How User Routine Affects the Recognition Performance of a Lock Pattern. BIOSIG 2015: 279-286 - [c72]Chris G. Zeinstra, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
Beyond the eye of the beholder: On a forensic descriptor of the eye region. EUSIPCO 2015: 774-778 - [c71]Raymond N. J. Veldhuis:
The relation between the secrecy rate of biometric template protection and biometric recognition performance. ICB 2015: 311-318 - [c70]Johannes Kotzerke, Stephen A. Davis, Robert Hayes, Luuk J. Spreeuwers, Raymond N. J. Veldhuis, Kathy J. Horadam:
Discriminating fingermarks with evidential value for forensic comparison. IWBF 2015: 1-6 - [c69]Y. Peng, Luuk J. Spreeuwers, Raymond N. J. Veldhuis:
Likelihood ratio based mixed resolution facial comparison. IWBF 2015: 1-5 - [c68]Chris G. Zeinstra, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
Examining the examiners: an online eyebrow verification experiment inspired by FISWG. IWBF 2015: 1-6 - [i2]Abhishek Dutta, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
Predicting Face Recognition Performance Using Image Quality. CoRR abs/1510.07119 (2015) - 2014
- [j35]Ruifang Wang, Daniel Ramos, Raymond N. J. Veldhuis, Julian Fiérrez, Luuk J. Spreeuwers, Haiyun Xu:
Regional fusion for high-resolution palmprint recognition using spectral minutiae representation. IET Biom. 3(2): 94-100 (2014) - [j34]Tauseef Ali, Luuk J. Spreeuwers, Raymond N. J. Veldhuis, Didier Meuwly:
Biometric evidence evaluation: an empirical assessment of the effect of different training data. IET Biom. 3(4): 335-346 (2014) - [j33]Anne Hendrikse, Raymond N. J. Veldhuis, Luuk J. Spreeuwers:
Likelihood-Ratio-Based Verification in High-Dimensional Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 127-139 (2014) - [c67]Fieke Hillerström, Ajay Kumar, Raymond N. J. Veldhuis:
Generating and Analyzing Synthetic Finger Vein Images. BIOSIG 2014: 111-120 - [c66]Luuk J. Spreeuwers, Raymond N. J. Veldhuis, Siar Sultanali, Jasper Diephuis:
Fixed FAR Vote Fusion of Regional Facial Classifiers. BIOSIG 2014: 187-194 - [c65]