Person: Najoua Essoukri Ben Amara

DBLP: Amara:Najoua_Essoukri_Ben

Contributed to:

2015

2009

2007

2003

2001

1996

1995

Wrote 10 papers:

DRR-2015-MehriSHGAM #documentation #image #segmentation #using

Use of SLIC superpixels for ancient document image enhancement and segmentation (MM, NS, PH, PGK, NEBA, RM), p. 940205.

DRR-2009-MaatoukJA #documentation

Watermarking Ancient Documents Based on Wavelet Packets (MNM, OJ, NEBA), pp. 1–10.

ICDAR-2007-AmorA #approach #multi

An Approach for Multifont Arabic Characters Features Extraction Based on Contourlet Transform (NBA, NEBA), pp. 1048–1052.

ICDAR-2007-GazzahA #analysis #identification #using

Arabic Handwriting Texture Analysis for Writer Identification Using the DWT-Lifting Scheme (SG, NEBA), pp. 1133–1137.

ICDAR-2007-ToujAA #segmentation #using

Two Approaches for Arabic Script Recognition-Based Segmentation Using the Hough Transform (ST, NEBA, HA), pp. 654–658.

ICDAR-2007-ToujAA07a #approach #hybrid #markov #modelling #recognition

A hybrid approach for off-line Arabic handwriting recognition based on a Planar Hidden Markov modeling (SMT, NEBA, HA), pp. 964–968.

ICDAR-2003-ToujAA #recognition

Generalized Hough Transform for Arabic Optical Character Recognition (ST, NEBA, HA), pp. 1242–1246.

ICDAR-2001-MiledA #markov #modelling #recognition

Planar Markov Modeling for Arabic Writing Recognition: Advancement State (HM, NEBA), pp. 69–73.

ICPR-1996-AmaraB #markov #modelling #recognition

Printed PAW recognition based on planar hidden Markov models (NEBA, AB), pp. 220–224.

ICDAR-v2-1995-NajouaN #approach #robust #segmentation

A robust approach for Arabic printed character segmentation (NEBA, NE), pp. 865–868.