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DOI: 10.14569/SpecialIssue.2013.030201
PDF

Application of Data Mining Tools for Recognition of Tifinagh Characters

Author 1: M. OUJAOURA
Author 2: R. EL AYACHI
Author 3: O. BENCHAREF
Author 4: Y. CHIHAB
Author 5: B. JARMOUNI

International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Selected Papers from Third international symposium on Automatic Amazigh processing SITACAM13, 2013.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: The majority of Tifinagh OCR presented in the literature does not exceed the scope of simulation software such as Matlab. In this work, the objective is to compare the classification data mining tool for Tifinagh character recognition. This comparison is performed in a working environment using an Oracle database and Oracle Data Mining tools (ODM) to determine the algorithms that gives the best Recognition rates (rate / time).

Keywords: OCR; Data Mining; Classification; Recognition; Tifinagh; geodesic descriptors; Zernike Moments; CART; AdaBoost; KNN; SVM; RNA; ANFIS

M. OUJAOURA, R. EL AYACHI, O. BENCHAREF, Y. CHIHAB and B. JARMOUNI, “Application of Data Mining Tools for Recognition of Tifinagh Characters” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Selected Papers from Third international symposium on Automatic Amazigh processing SITACAM13, 2013. http://dx.doi.org/10.14569/SpecialIssue.2013.030201

@article{OUJAOURA2013,
title = {Application of Data Mining Tools for Recognition of Tifinagh Characters},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Selected Papers from Third international symposium on Automatic Amazigh processing SITACAM13}
doi = {10.14569/SpecialIssue.2013.030201},
url = {http://dx.doi.org/10.14569/SpecialIssue.2013.030201},
year = {2013},
publisher = {The Science and Information Organization},
volume = {3},
number = {2},
author = {M. OUJAOURA and R. EL AYACHI and O. BENCHAREF and Y. CHIHAB and B. JARMOUNI},
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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