Profile Yousri Kessentini

First Name
Yousri

Last Name
Kessentini

Address
Technopole of Sfax, PO Box 275, Sakiet Ezzit, 3021 Sfax - Tunisia

Zip code
3038

Biography
Yousri KESSENTINI is Associate Professor at the Digital Research Center of Sfax (CRNS) and the head of the DeepVision research team. He received his Ph.D. degree in the field of pattern recognition from the University of Rouen, France in 2009. He was postdoctoral researcher at ITESOFT company and LITIS laboratory from 2011 to 2013. He is certified as an official instructor and ambassador from the NVIDIA Deep Learning Institute. His main research areas concern deep learning, document processing and recognition, data fusion, and computer vision. He has participated in several research projects and technology transfer projects. He has published more than 60 papers in international conferences and journals. He is also a reviewer for several international conferences and journals in the field of pattern recognition and computer vision.
Scientific publications
Title Cited by Year
Fusion of explicit segmentation based system and segmentation-free based system for on-line Arabic handwritten word recognition
H Khlif, S Prum, Y Kessentini, S Kanoun, JM Ogier
2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016

8 2016
A HMM-based Arabic/Latin handwritten/printed identification system
A Cheikh Rouhou, Z Abdelhedi, Y Kessentini
International Conference on Hybrid Intelligent Systems, 298-307, 2016

6 2016
Benchmarking Post-processing Techniques for Offline Arabic Text Recognition System
SK Jemni, Y Kessentini, S Kanoun
International Conference on Hybrid Intelligent Systems, 267-277, 2016

2 2016
A Dempster–Shafer theory based combination of handwriting recognition systems with multiple rejection strategies
Y Kessentini, T Burger, T Paquet
Pattern recognition 48 (2), 534-544, 2015

39 2015
A Deep HMM model for multiple keywords spotting in handwritten documents
S Thomas, C Chatelain, L Heutte, T Paquet, Y Kessentini
Pattern Analysis and Applications 18, 1003-1015, 2015

36 2015