CFP last date
20 November 2025
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2025

Submit your paper
Know more
The week's pick
Responsive image
A Hybrid Transformer-CNN Framework with Early and Late Fusion for Robust Skin Lesion Classification

Raihan Tanvir
Random Articles
Reseach Article

Recognition of Multifont Isolated Arabic Characters by B´ezier Curves

by A. Mazroui, A. Kerkour Elmiad
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Number 6
Year of Publication: 2014
Authors: A. Mazroui, A. Kerkour Elmiad
10.5120/17526-8101

A. Mazroui, A. Kerkour Elmiad . Recognition of Multifont Isolated Arabic Characters by B´ezier Curves. International Journal of Computer Applications. 100, 6 ( August 2014), 1-7. DOI=10.5120/17526-8101

@article{ 10.5120/17526-8101,
author = { A. Mazroui, A. Kerkour Elmiad },
title = { Recognition of Multifont Isolated Arabic Characters by B´ezier Curves },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 100 },
number = { 6 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number6/17526-8101/ },
doi = { 10.5120/17526-8101 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:29:13.994158+05:30
%A A. Mazroui
%A A. Kerkour Elmiad
%T Recognition of Multifont Isolated Arabic Characters by B´ezier Curves
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 6
%P 1-7
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The recognition of Arabic characters is still a major challenge to overcome. In this paper, we propose a new approach in the field of recognition of multifont isolated Arabic characters. It is based on the semi-cursive nature of Arabic characters and consists in assimilating them to a small number of checkpoints equipped with their derivatives. The choice of this approach is motivated by the interesting properties of B´ezier curves that allow drawing parametric curves from a limited number of dots equipped with their tangents. The results achieved are very interesting and relate to character recognition derived from a large number of fonts (23 fonts).

References
  1. A. M. AL-Shatnawi, S. AL-Salaimeh, F. H. AL-Zawaideh, and O. Khairuddin. Offline arabic text recognition-an overview. World of Computer Science and Information Technology Journal (WCSIT), 5(1):184–192, 2011.
  2. J. H. AlKhateeb, J. Ren, J. Jiang, and H. Al-Muhtaseb. Offline handwritten arabic cursive text recognition using hidden markov models and re-ranking. Pattern Recognition Letters, (32):1081–1088, 2011.
  3. D. Arrivault. Apport des Graphes dans la Reconnaissance Non-Contrainte de Caractres Manuscrits Anciens. PhD thesis, Universit de Poitiers, 2006.
  4. S. Bahgat, S. Ghomiemy, S. Aljahdali, and M. Alotaibi. A proposed hybrid technique for recognizing arabic characters. International Journal of Advanced Research in Artificial Intelligence, 4(1):35–43, 2012.
  5. N. Ben Amor and N. Essoukri. Multifont arabic character recognition using hough transform and hmm/ann. Journal of Multimedia, 2(1):50–54, 2012.
  6. T. S. Elsheich and R. M. Guindi. Automatic recognition of isolated arabic characters. Signal Processing, 14(2):177–184, 1980.
  7. G. Farin and P Massart. Curves and Surfaces for Computer Aided Geometric Design, volume 3368/2005. Academic Press - San Diego, 1983.
  8. A. Hassin, X. Tang, J. Liu, and W. Zhao. Printed arabic character recognition using hmm. J. Comput. Sci. Technol, 19(4):538–543, 1980.
  9. A. A. -M. Husni, A. M. Sabri, and S. Q. Rami. Recognition of off-line printed arabic text using hidden markov models. Signal Processin, 12(88):2902–2912, 2008.
  10. H. Izakian, S. A. Monadjemi, B. Tork Ladani, and K. Zamanifar. Multi-font farsi/arabic isolated character recognition using chain codes. World Academy of Science, Engineering and Technology, 43:67–70, 2008.
  11. A. Kacem, A. Belad, and M. Ben Ahmed. Automatic extraction of printed mathematical formulas using fuzzy logic and propagation of context. International Journal on Document Analysis and Recognition, 2(4):97–108, 2001.
  12. L. M. Lorigo and V. Govindaraju. Offline arabic handwriting recognition: A survey. IEEE Trans. Pattern Anal. Machine Intell, 28:712–724, 2006.
  13. A. Mesleh, A. Sharadqh, A. Al-Azzeh, J. Abu-Zaher, M. Al- Zabin, N. Jaber, Odeh, and T. Hasn. Offline arabic handwriting recognition: A survey. Contemporary Engineering Sciences, 11(5):521–529, 2012.
  14. N. Mezghani, A. Mitiche, and A. Cheriet. Bayes classification of online arabic characters by gibbs modeling of class conditional densities. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(7):1121–1131, 2008.
  15. M. Oujaoura, R. El Ayachi, M. Fakir, Bouikhalene B. , and B. Minaoui. Zernike moments and neural networks for recognition of isolated arabic characters. International Journal of Computer Engineering Science, 3(2):17–25, 2012.
  16. I. K. Pathan, A. A. Ali, and R. J. Ramteke. Recognition of offline handwritten isolated urdu character. Advances in Computational Research- Intl. Journal, 1(4):117–121, 2012.
  17. R. Prasad, A. Bhardwaj, K. Subramanian, H. Cao, and P. Natarajan. Stochastic segment model adaptation for offline handwriting recognition. In In: Proc. Internet. Conf. Pattern Recognition, pages 1993–1996, 2010.
  18. I. Zavorin, E. Borovikov, E. Davis, and A. Borovikov. Combining different classification approaches to improve off-line arabic handwritten word recognition. In Proc. of SPIE 6815 (681504), 2008.
  19. Y. Y. Zhang and P. S. P. Wang. A new parallel thinning methodology. International Journal of Pattern Recognition and Artificial Intelligence, (8):999–1011, 1994.
Index Terms

Computer Science
Information Sciences

Keywords

Recognition Multifont

Powered by PhDFocusTM