CFP last date
20 January 2025
Reseach Article

Document Image Converter to XML File, Case of Tifinagh

by Mehdi Boutaounte, Youssef Ouadid
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 145 - Number 4
Year of Publication: 2016
Authors: Mehdi Boutaounte, Youssef Ouadid
10.5120/ijca2016910569

Mehdi Boutaounte, Youssef Ouadid . Document Image Converter to XML File, Case of Tifinagh. International Journal of Computer Applications. 145, 4 ( Jul 2016), 30-33. DOI=10.5120/ijca2016910569

@article{ 10.5120/ijca2016910569,
author = { Mehdi Boutaounte, Youssef Ouadid },
title = { Document Image Converter to XML File, Case of Tifinagh },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 145 },
number = { 4 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume145/number4/25267-2016910569/ },
doi = { 10.5120/ijca2016910569 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:47:53.670303+05:30
%A Mehdi Boutaounte
%A Youssef Ouadid
%T Document Image Converter to XML File, Case of Tifinagh
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 4
%P 30-33
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The document image converter is a necessity in our life for many reasons such as digitization of data in paper to secure them and gain time by automating this task, on the other hand preserving the environment by maintaining trees the first source of paper, for that this works based in a bi-cubic method for physical structure analyze and a graphs models representation for the characters recognition to generate at the end a standard XML file that can be used to create file is realised ( doc, pdf ,html…).

References
  1. Jean-Luc Meunier ‘Optimized XY-Cut for Determining a Page Reading Order’Xerox Research Centre Europe 6, chemin de Maupertuis F-38240 Meylan.
  2. L. Cinquea, S. Levialdia, L. Lombardib, S. Tanimotoc “Segmentation of page images having artifacts of photocopying and scanning” aDipartimento di Scienze dell’Informazione, University of Rome “La Sapienza”, Rome.
  3. Jie Xi, Jianming Hu, Lide Wu “Page segmentation of Chinese newspapers” Department of Computer Science, Fudan University, Shanghai, Fudan, People’s Republic of China 2004.
  4. l Ayachi, R., Fakir, M., & Bouikhalene, B. . Recognition of TIFINAGHE characters using a multilayer neural networks. [IJIP]. International Journal of Image Processing, 5(2), 2011.
  5. M.Fakir, O.Bencharef, B.Bouikhalene, B. Minaoui '' Tifinagh Character Recognition Using Riemannian Metric, SVM & Neural Networks '' International Journal of Advances in Science and Technology, Vol. 2, No. 6, 2011.
  6. A.Haidar, M.Fakir, O.Bencharef "Hybridation des modèles de Markov cachés et de la logique floue pour la reconnaissance des caractères Tifinagh manuscrits " 5ème conférence internationale sur les TIC pour l’amazighe 2012.
  7. B. El Kessab, C. Daoui , B. Bouikhalene, S. Gounane "Using of networks neurons and Markov model for the recognition of Tinifagh characters " SITACAM Agadir pp -31-40 2011.
  8. P .Bonnet « Cours de Traitement d’Image USTL » Université des Sciences et Technologies de Lille 2008-2009.
  9. M.Boutaounte, D.Naji, M. Fakir, B. Bouikhalene "Tifinaghe Document Converter" International Journal of Computer Vision and Image Processing, vol 3 issue 3, 2013.
  10. M.Hanmandlu, A. A. Fuzzy Model Based Recognition of Handwritten Hindi Numerals using bacterial foraging. 6th IEEE/ACIS ICIS.
  11. Fu Chang, Shih-Yu Chu, Chi-Yen Chen “Chinese document layout analysis using an adaptive regrouping” Institute of Information Science, Academia Sinica, 128 Academia Road, Taipei, 115 Taiwan, 2004.
  12. Thi, N., Oanh & Tabbone, S. . Binarisation d’images de documents graphiques. Technical report Laboratoire Lorrain de Recherche en Informatique et ses Applications à Université de Nancy. Bellman 2004.
  13. D. Arrivault, «Apport des Graphes dans la ReconnaissanceNon-Contrainte de Caractères Manuscrits Anciens», pp 61, 2002.
  14. Luigi Di Stefano, Andrea Bulgarelli “A Simple and Efficient Connected Components Labeling Algorithm” DEIS, University of Bologna Via Risorgimento 2, 40136 Bologna,Italy
Index Terms

Computer Science
Information Sciences

Keywords

Document converter physical structure bi-cubic interpolation recognition Key points.