| Dynamic signature verification method based on association of features with similarity measures R Doroz, P Porwik, T Orczyk Neurocomputing 171, 921-931, 2016 | 61 | 2016 |
| Signatures verification based on PNN classifier optimised by PSO algorithm P Porwik, R Doroz, T Orczyk Pattern Recognition 60, 998-1014, 2016 | 59 | 2016 |
| Using a probabilistic neural network for lip-based biometric verification K Wrobel, R Doroz, P Porwik, J Naruniec, M Kowalski Engineering Applications of Artificial Intelligence 64, 112-127, 2017 | 41 | 2017 |
| The k-NN classifier and self-adaptive Hotelling data reduction technique in handwritten signatures recognition P Porwik, R Doroz, T Orczyk Pattern Analysis and Applications 18, 983-1001, 2015 | 40 | 2015 |
| Dynamic signature recognition based on velocity changes of some features R Doroz, P Porwik, T Para, K Wrobel International Journal of Biometrics 1 (1), 47-62, 2008 | 37 | 2008 |
| An ensemble learning approach to lip-based biometric verification, with a dynamic selection of classifiers P Porwik, R Doroz, K Wrobel Expert Systems with Applications 115, 673-683, 2019 | 33 | 2019 |
| Online signature verification modeled by stability oriented reference signatures R Doroz, P Kudlacik, P Porwik Information Sciences 460, 151-171, 2018 | 33 | 2018 |
| Personal identification utilizing lip print furrow based patterns. A new approach K Wrobel, R Doroz, P Porwik, M Bernas Pattern Recognition 81, 585-600, 2018 | 33 | 2018 |
| Handwritten signature recognition with adaptive selection of behavioral features R Doroz, P Porwik Computer Information Systems–Analysis and Technologies: 10th International …, 2011 | 27 | 2011 |
| A method of lip print recognition based on sections comparison K Wrobel, R Doroz, M Palys 2013 International Conference on Biometrics and Kansei Engineering, 47-52, 2013 | 25 | 2013 |
| Lip print recognition method using bifurcations analysis K Wrobel, R Doroz, M Palys Intelligent Information and Database Systems: 7th Asian Conference, ACIIDS …, 2015 | 23 | 2015 |
| Method of signature recognition with the use of the mean differences R Doroz, K Wrobel Proceedings of the ITI 2009 31st International Conference on Information …, 2009 | 22 | 2009 |
| A new signature similarity measure P Porwik, R Doroz, K Wrobel 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC …, 2009 | 21 | 2009 |
| Electronic health record security based on ensemble classification of keystroke dynamics TE Wesołowski, P Porwik, R Doroz Applied Artificial Intelligence 30 (6), 521-540, 2016 | 20 | 2016 |
| Self-adaptive biometric classifier working on the reduced dataset P Porwik, R Doroz Hybrid Artificial Intelligence Systems: 9th International Conference, HAIS …, 2014 | 20 | 2014 |
| On-line signature recognition based on an analysis of dynamic feature M Palys, R Doroz, P Porwik 2013 International Conference on Biometrics and Kansei Engineering, 103-108, 2013 | 18 | 2013 |
| Dynamic keystroke pattern analysis and classifiers with competence for user recognition P Porwik, R Doroz, TE Wesolowski Applied Soft Computing 99, 106902, 2021 | 17 | 2021 |
| The new method of signature recognition based on least squares contour alignment K Wrobel, R Doroz 2009 International Conference on Biometrics and Kansei Engineering, 80-83, 2009 | 16 | 2009 |
| An accurate fingerprint reference point determination method based on curvature estimation of separated ridges R Doroz, K Wrobel, P Porwik International Journal of Applied Mathematics and Computer Science 28 (1 …, 2018 | 15 | 2018 |
| Biometric recognition system based on the motion of the human body gravity centre analysis P Porwik, J Zyguła, R Doroz, R Proksa Journal of Medical Informatics & Technologies 15, 61-69, 2010 | 15 | 2010 |
Piotr PorwikUniversity of Silesia, Katowice, PolandVerified email at us.edu.pl
