| Deep learning for source camera identification on mobile devices D Freire-Obregón, F Narducci, S Barra, M Castrillon-Santana Pattern Recognition Letters 126, 86-91, 2019 | 88 | 2019 |
| Ubiquitous iris recognition by means of mobile devices S Barra, A Casanova, F Narducci, S Ricciardi Pattern Recognition Letters 57, 66-73, 2015 | 81 | 2015 |
| Biometric recognition in surveillance scenarios: a survey J Neves, F Narducci, S Barra, H Proença Artificial Intelligence Review 46 (4), 515-541, 2016 | 71 | 2016 |
| Telemedicine supported by Augmented Reality: an interactive guide for untrained people in performing an ECG test P Bifulco, F Narducci, R Vertucci, P Ambruosi, M Cesarelli, M Romano Biomedical engineering online 13 (1), 1-16, 2014 | 46 | 2014 |
| A hand-based biometric system in visible light for mobile environments S Barra, M De Marsico, M Nappi, F Narducci, D Riccio Information Sciences 479, 472-485, 2019 | 42 | 2019 |
| Insights into the results of miche i-mobile iris challenge evaluation M De Marsico, M Nappi, F Narducci, H Proença Pattern Recognition 74, 286-304, 2018 | 40 | 2018 |
| Biometrics in the cloud: challenges and research opportunities A Castiglione, KKR Choo, M Nappi, F Narducci IEEE Cloud Computing 4 (4), 12-17, 2017 | 33 | 2017 |
| Quis-Campi: Extending in the Wild Biometric Recognition to Surveillance Environments JC Neves, G Santos, S Filipe, E Grancho, S Barra, F Narducci, H Proença International Conference on Image Analysis and Processing, 59-68, 2015 | 23 | 2015 |
| White paper on industrial applications of computer vision and pattern recognition G Garibotto, P Murrieri, A Capra, SD Muro, U Petillo, F Flammini, ... International conference on image analysis and processing, 721-730, 2013 | 23 | 2013 |
| A semantic-based methodology for digital forensics analysis F Amato, A Castiglione, G Cozzolino, F Narducci Journal of Parallel and Distributed Computing 138, 172-177, 2020 | 21 | 2020 |
| Clustering facial attributes: Narrowing the path from soft to hard biometrics AF Abate, P Barra, S Barra, C Molinari, M Nappi, F Narducci IEEE Access 8, 9037-9045, 2019 | 17 | 2019 |
| Kurtosis and skewness at pixel level as input for SOM networks to iris recognition on mobile devices AF Abate, S Barra, L Gallo, F Narducci Pattern Recognition Letters 91, 37-43, 2017 | 16 | 2017 |
| Transfer learning for facial attributes prediction and clustering L Anzalone, P Barra, S Barra, F Narducci, M Nappi International Conference on Smart City and Informatization, 105-117, 2019 | 15 | 2019 |
| Mobile iris challenge evaluation ii: results from the icpr competition M Castrillón-Santana, M De Marsico, M Nappi, F Narducci, H Proença 2016 23rd International Conference on Pattern Recognition (ICPR), 149-154, 2016 | 14 | 2016 |
| Fast iris recognition on smartphone by means of spatial histograms AF Abate, M Nappi, F Narducci, S Ricciardi International Workshop on Biometric Authentication, 66-74, 2014 | 13 | 2014 |
| Biometric data on the edge for secure, smart and user tailored access to cloud services S Barra, A Castiglione, F Narducci, M De Marsico, M Nappi Future Generation Computer Systems 101, 534-541, 2019 | 12 | 2019 |
| An image based approach to hand occlusions in mixed reality environments AF Abate, F Narducci, S Ricciardi International conference on virtual, augmented and mixed reality, 319-328, 2014 | 12 | 2014 |
| Biometrics-as-a-service: Cloud-based technology, systems, and applications S Barra, KKR Choo, M Nappi, A Castiglione, F Narducci, R Ranjan IEEE Cloud Computing 5 (4), 33-37, 2018 | 11 | 2018 |
| Skipsom: Skewness & kurtosis of iris pixels in self organizing maps for iris recognition on mobile devices A Abate, S Barra, L Gallo, F Narducci 2016 23rd international conference on pattern recognition (ICPR), 155-159, 2016 | 10 | 2016 |
| Enabling consistent hand-based interaction in mixed reality by occlusions handling F Narducci, S Ricciardi, R Vertucci Multimedia Tools and Applications 75 (16), 9549-9562, 2016 | 9 | 2016 |
Silvio BarraUniversità di Napoli, Federico II, DIETIVerified email at unina.it
