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.
Digital Object Identifier (DOI) : 10.14569/IJACSA.2011.021209
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 2 Issue 12, 2011.
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.
Hamdi Hassen and Maher Khemakhem, “A Comparative study of Arabic handwritten characters invariant feature” International Journal of Advanced Computer Science and Applications(IJACSA), 2(12), 2011. http://dx.doi.org/10.14569/IJACSA.2011.021209