Hakim el Fadili

VLDB 2026 Research / reviewers in the wild / expert

dblp:77/7035 · DBLP profile ↗

← Back

11ranked-venue papers

0as first author

6since 2021 · last 2024

0000-0002-3885-7662ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 7 · 6 since 2021Artificial intelligence and machine learning · 3Applied, interdisciplinary, general and emerging computing · 1

Year	Publication	Venue	Position
2024	Fast chaotic encryption scheme based on separable moments and parallel computing Abdelhalim Kamrani, Khalid Zenkouar, Said Najah, Hakim el Fadili	Multim. Tools Appl.	4
2022	RGB-D feature extraction method for hand gesture recognition based on a new fast and accurate multi-channel cartesian Jacobi moment invariants Ilham Elouariachi, Rachid Benouini, Khalid Zenkouar, Arsalane Zarghili, Hakim el Fadili	Multim. Tools Appl.	5
2021	Security analysis of an audio data encryption scheme based on key chaining and DNA encoding Imad El Hanouti, Hakim el Fadili	Multim. Tools Appl.	2
2021	Correction to: Security analysis of an audio data encryption scheme based on key chaining and DNA encoding Imad El Hanouti, Hakim el Fadili	Multim. Tools Appl.	2
2021	Breaking an image encryption scheme based on Arnold map and Lucas series Imad El Hanouti, Hakim el Fadili, Khalid Zenkouar	Multim. Tools Appl.	2
2021	Cryptanalysis of an embedded systems' image encryption Imad El Hanouti, Hakim el Fadili, Khalid Zenkouar	Multim. Tools Appl.	2
2019	Fast and accurate computation of Racah moment invariants for image classification Rachid Benouini, Imad Batioua, Khalid Zenkouar, Azeddine Zahi, Hakim el Fadili, Hassan Qjidaa	Pattern Recognit.	5
2019	New set of generalized legendre moment invariants for pattern recognition Rachid Benouini, Imad Batioua, Khalid Zenkouar, Fatiha Mrabti, Hakim el Fadili	Pattern Recognit. Lett.	5
2017	3D image analysis by separable discrete orthogonal moments based on Krawtchouk and Tchebichef polynomials Imad Batioua, Rachid Benouini, Khalid Zenkouar, Azeddine Zahi, Hakim el Fadili	Pattern Recognit.	5
2015	Volumetric image reconstruction by 3D Hahn moments abstract Three-Dimensional Hahn moments are performant tool in the domain of image processing applications and pattern classification. In this work, we propose a new method for computing the Three-Dimensional Hahn moments. This method is based on matrix multiplication and symmetry property to decrease the complexity and computational time for volumetric image reconstruction. Experimental results showed that the proposed method is very efficient in terms of computation time, but also in terms of volumetric image reconstruction capability. Mostafa El Mallahi, Abderrahim Mesbah, Hassan Qjidaa, Aissam Berrahou, Khalid Zenkouar, Hakim el Fadili	AICCSA	6
2005	Skeletonization of Noisy Images via the Method of Legendre Moments Khalid Zenkouar, Hakim el Fadili, Hassan Qjidaa	ACIVS	2