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Research Article | Open Access |

A Comparative study of Arabic handwritten characters invariant feature

Author 1: Hamdi Hassen Author 2: Maher Khemakhem
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 2, No. 12 · Published 2011 · Cited by 8

DOI: https://doi.org/10.14569/IJACSA.2011.021209

Abstract

this paper is practically interested in the unchangeable feature of Arabic handwritten character. It presents results of comparative study achieved on certain features extraction techniques of handwritten character, based on Hough transform, Fourier transform, Wavelet transform and Gabor Filter. Obtained results show that Hough Transform and Gabor filter are insensible to the rotation and translation, Fourier Transform is sensible to the rotation but insensible to the translation, in contrast to Hough Transform and Gabor filter, Wavelets Transform is sensitive to the rotation as well as to the translation.

Keywords

How to Cite this Article

Hassen, H., & Khemakhem, M. (2011). A Comparative study of Arabic handwritten characters invariant feature. International Journal of Advanced Computer Science and Applications, 2(12). https://doi.org/10.14569/IJACSA.2011.021209

Hassen, Hamdi, and Maher Khemakhem. "A Comparative study of Arabic handwritten characters invariant feature." International Journal of Advanced Computer Science and Applications, vol. 2, no. 12, 2011, https://doi.org/10.14569/IJACSA.2011.021209.

@article{Hassen2011,
  title     = {A Comparative study of Arabic handwritten characters invariant feature},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {2},
  number    = {12},
  year      = {2011},
  publisher = {The Science and Information Organization},
  author    = {Hamdi Hassen and Maher Khemakhem},
  doi       = {10.14569/IJACSA.2011.021209},
  url       = {https://doi.org/10.14569/IJACSA.2011.021209}
}

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