| A novel approach for Finger-Knuckle-Print recognition based on Gabor feature fusion ZS Shariatmadar, K Faez 2011 4th International Congress on Image and Signal Processing 3, 1480-1484, 2011 | 28 | 2011 |
| Finger-knuckle-print recognition via encoding local-binary-pattern ZS Shariatmadar, K Faez Journal of Circuits, Systems and Computers 22 (06), 1350050, 2013 | 27 | 2013 |
| Finger-Knuckle-Print recognition performance improvement via multi-instance fusion at the score level Z S shariatmadar, K Faez, Optik - International Journal for Light and Electron Optics 125 (3), 908-910, 2014 | 23* | 2014 |
| An efficient method for finger-knuckle-print recognition by using the information fusion at different levels ZS Shariatmadar, K Faez 2011 international conference on hand-based biometrics, 1-6, 2011 | 15 | 2011 |
| Visual saliency detection via integrating bottom-up and top-down information ZS Shariatmadar, K Faez Optik 178, 1195-1207, 2019 | 14 | 2019 |
| An efficient method for finger-knuckle-print recognition based on information fusion ZS Shariatmadar, K Faez 2011 IEEE International Conference on Signal and Image Processing …, 2011 | 9 | 2011 |
| Sal-HMAX: An Enhanced HMAX Model in Conjunction With a Visual Attention Mechanism to Improve Object Recognition Task ZS Shariatmadar, K Faez, AS Namin IEEE Access 9, 154396-154412, 2021 | 3 | 2021 |
| A Data‐Driven and Biologically Inspired Preprocessing Scheme to Improve Visual Object Recognition ZS Shariatmadar, K Faez Computational Intelligence and Neuroscience 2021 (1), 6699335, 2021 | 2 | 2021 |
| Research Article A Data-Driven and Biologically Inspired Preprocessing Scheme to Improve Visual Object Recognition ZS Shariatmadar, K Faez | | 2021 |
karim faezProfessor of EE Department, Amirkabir University of Technology, Tehran, Iran在 aut.ac.ir 的电子邮件经过验证
