CFP last date
20 January 2025
Reseach Article

Recognition of Tifinagh Handwritten Corona Virus COVID-19 Glossary

by Yassine Chajri
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 9
Year of Publication: 2024
Authors: Yassine Chajri
10.5120/ijca2024923445

Yassine Chajri . Recognition of Tifinagh Handwritten Corona Virus COVID-19 Glossary. International Journal of Computer Applications. 186, 9 ( Feb 2024), 46-51. DOI=10.5120/ijca2024923445

@article{ 10.5120/ijca2024923445,
author = { Yassine Chajri },
title = { Recognition of Tifinagh Handwritten Corona Virus COVID-19 Glossary },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2024 },
volume = { 186 },
number = { 9 },
month = { Feb },
year = { 2024 },
issn = { 0975-8887 },
pages = { 46-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number9/recognition-of-tifinagh-handwritten-corona-virus-covid-19-glossary/ },
doi = { 10.5120/ijca2024923445 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-29T03:28:39.355486+05:30
%A Yassine Chajri
%T Recognition of Tifinagh Handwritten Corona Virus COVID-19 Glossary
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 9
%P 46-51
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper aims to present a data set (images) of Tifinagh handwritten Corona virus COVID-19 glossary and a comprehensive approach that allows this glossary recognition. This approach is based on Radon transform in all steps of this process. In pre-processing phase, this transform intervenes for skew detection and correction. Regarding text segmentation, Radon transform allows transforming text lines into positioned peaks in order to easily extract all lines. Finally, this transform allows recognizing handwritten Tifinagh characters with a very high recognition rate.

References
  1. A Rachidi. Reconnaissance automatique de caractères et de textes amazighes : état des lieux et perspectives », Asinag. 9, 2014,119-132
  2. A Oulamara, and J. Duvernoy. An application of the Hough transform to automatic recognition of Berber characters. Signal Processing, vol.14, 1988, 79-90.
  3. A Djematen , B Taconet. and A Zahour. A Geometrical Method for Printing and Handwritten Berber Character Recognition. ICDAR'97, 1997,564.
  4. Y Ait Ouguengay and M Taalabi. Elaboration d’un réseau de neurones artificiels pour la reconnaissance optique de la graphie amazighe: Phase d’apprentissage. Systèmes intelligents-Théories et applications, Paris : Europia, cop. (impr. au Maroc), ISBN-102909285553,2009.
  5. R El Ayachi, K Moro, M Fakir and B. Bouikhalene. Recognition of Tifinaghe Characters Using a Multilayer Neural Network. International Journal Of Image Processing (IJIP), vol. 5, Issue 2, 2011.
  6. Y Es Saady, A Rachidi, M El Yassa and D. Mammass. AMHCD: A Database for Amazigh Handwritten Character Recognition Research. International Journal of Computer Applications , Vol.27, N°.4, 2011, 44-48.
  7. Y Es Saady, A Rachidi, M El Yassa, D Mammass. Printed Amazigh Character Recognition by a Syntactic Approach using Finite Automata. ICGSTGVIP Journal, vol.10, Issue 2, 2010,1-8.
  8. M Amrouch, A Rachidi, M El Yassa and D Mammass. Handwritten Amazigh Character Recognition Based On Hidden Markov Models. ICGST-GVIP Journal, vol.10, Issue 5, 2010,11-18.
  9. M Amrouch, Y Es Saady, A Rachidi, M El Yassa and D Mammass. Handwritten Amazigh Character Recognition System Based on Continuous HMMs and Directional Features. IJMER journal, Vol.2, Issue 2, 2012, 436-441.
  10. R El Ayachi, K Moro, M Fakir and B Bouikhalene. On the Recognition of Tifinaghe Scripts. Journal of Theoretical and Applied Information Technology, vol.20, 2, 2010, 61-66.
  11. Y Chajri and B Bouikhalene. Recognition of Handwritten Mathematical Text. International Journal of Future Generation Communication and Networking, vol. 9, no. 8, 2016, 307-316.
  12. Y Chajri and B Bouikhalene. Segmentation of Handwritten and Typewritten Tifinaghe Texts. International Journal of Computer Applications, vol 183, 27, 2021, 49-52.
  13. M Hasegawa and S Tabbone. Histogram of radon transform with angle correlation matrix for distortion invariant shape descriptor. NeuroComputing.
  14. S Parker and J Kemi. Ladeji-Osias Implementing a Histogram Equalization Algorithm in Reconfigurable Hardware.
  15. K ManglemSingh. Fuzzy rule based median filter for gray-scale images. J.Inf.Hiding Multimed.SignalProcess. vol 2, 2, 2011.
  16. J Radon. On the determination of functions from their integral values along certain manifolds. IEEE Transactions on Medical Imaging, vol.5, no.4, 1986, 170-176.
  17. Y Chajri and B Bouikhalene. Handwritten Mathematical Expressions Recognition. International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 9, no. 5, 2016, 69-76.
  18. C Hoilund.The Radon Transform. Aalborg University, VGIS, 07gr721, 2007.
Index Terms

Computer Science
Information Sciences
Documents recognition – Data set.

Keywords

COVID-19 – Tifinagh – Recognition – Segmentation -Handwritten – Radon Transform