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Research Article | Open Access |

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 · Published 2013

DOI: 10.14569/SpecialIssue.2013.030201

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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

How to Cite this Article

OUJAOURA, M., AYACHI, R. E., BENCHAREF, O., CHIHAB, Y., & JARMOUNI, B. (2013). Application of Data Mining Tools for Recognition of Tifinagh Characters. International Journal of Advanced Computer Science and Applications, 3(2). https://doi.org/10.14569/SpecialIssue.2013.030201

OUJAOURA, M., et al.. "Application of Data Mining Tools for Recognition of Tifinagh Characters." International Journal of Advanced Computer Science and Applications, vol. 3, no. 2, 2013, https://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},
  volume    = {3},
  number    = {2},
  year      = {2013},
  publisher = {The Science and Information Organization},
  note      = {Special Issue on Selected Papers from Third international symposium on Automatic Amazigh processing SITACAM13},
  author    = {M. OUJAOURA and R. EL AYACHI and O. BENCHAREF and Y. CHIHAB and B. JARMOUNI},
  doi       = {10.14569/SpecialIssue.2013.030201},
  url       = {https://doi.org/10.14569/SpecialIssue.2013.030201}
}

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