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Issue:An application of intuitionistic fuzzy information for handwritten Arabic word recognition

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Title of paper: An application of intuitionistic fuzzy information for handwritten Arabic word recognition
Author(s):
Leila Baccour
Research Group on Intelligent Machines (REGIM), University of Sfax, ENIS, DGE, BP. W-3038 - Sfax – Tunisia
leila.baccour@ieee.org
Slim Kanoun
Research Group on Intelligent Machines (REGIM), University of Sfax, ENIS, DGE, BP. W-3038 - Sfax – Tunisia
slim.kanoun@enis.rnu.tn
Volker Maergner
Institute of Communications Technology. Technical University, University Braunschweig D-38092, Germany
maergner@ifn.ing.tu-bs.de
Mohamed Adel Alimi
Research Group on Intelligent Machines (REGIM), University of Sfax, ENIS, DGE, BP. W-3038 - Sfax – Tunisia
adel.alimi@enis.rnu.tn
Presented at: 12th ICIFS, Sofia, 17—18 May 2008
Published in: Conference proceedings, "Notes on IFS", Volume 14 (2008) Number 2, pages 67—72
Download:  PDF (173  Kb, Info)
Abstract: The main objectives of this paper are to use intuitionistic fuzzy information to characterize handwritten Arabic words for recognition, using an extract of the IFN/ENIT data set and to compare them with an intuitionistic fuzzy similarity measure.
Keywords: Fuzzy set, Intuitionistic fuzzy set, Intuitionistic fuzzy similarity measure, Word recognition
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