The week's pick
Random Articles
Reseach Article
Segmentation of Handwritten and Typewritten Tifinaghe Texts
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 183 - Number 27 |
| Year of Publication: 2021 |
| Authors: Yassine Chajri, Belaid Bouikhalene |
10.5120/ijca2021921663
|
Yassine Chajri, Belaid Bouikhalene . Segmentation of Handwritten and Typewritten Tifinaghe Texts. International Journal of Computer Applications. 183, 27 ( Sep 2021), 49-52. DOI=10.5120/ijca2021921663
Abstract
The recognition of Tifinaghe documents became a very important field of research. This importance is mainly due to the attention that has been given by the official institutions to the Amazigh language and culture. This paper represents our contribution in this process of Amazigh language’s revitalization. In this paper we describe all the details concerning the necessary steps (pre-processing, text lines’ segmentation, extracted lines’ segmentation) of our approach for Tifinaghe text’s segmentation (handwritten and typewritten). This approach is based on the Radon transform in terms of segmenting texts into lines and on the connected components algorithm in order to segment the extracted lines into Tifinaghe characters.
References
- Ataa Allah, F. and Frain, J. 2013. Amazigh Converter based on WordprocessingML.
- Boukous, A. 2010. Revitalisation de la langue Amazighe : Défis, Enjeux et Stratégies.
- Brodic, D., Milivojevic Z. N. and Milivojevic D. R. 2012. Approach to the Improvement of the Text Line Segmentation by Oriented Anisotropic Gaussian Kernel. electronics and electrical engineering, no. 2(118).
- Brodic, D. 2015. text line segmentation with water flow algorithm based on power function. Journal of electrical engineering, vol. 66, no.3, pp. 132–141.
- Chajri, Y. , Bouikhalene, B. , and Maarir, A. Segmentation of Text/Graphic from Handwritten Mathematical Documents Using Gabor Filter. The International Arab Journal of Information Technology, Vol. 14, No. 4A, Special Issue 2017.
- Chajri, Y., Maarir, A. and Bouikhalene, B. 2016. A Comparative Study of Handwritten Mathematical Symbols Recognition. IEEE 13th International Conference Computer Graphics Imaging and Visualization, pp. 448-451.
- Chajri Y. and Bouikhalene B. 2016. Handwritten mathematical symbols dataset. Data in brief, vol. 7, pp. 432–436.
- Chajri, Y. and Bouikhalene, B.2016. Recognition of Handwritten Mathematical Text. International Journal of Future Generation Communication and Networking, vol. 9, no. 8, pp. 307-316.
- Chajri, Y. and Bouikhalene, B. 2016. Handwritten Mathematical Expressions Recognition. International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 9, no. 5, pp. 69-76.
- Erkan, U., Gökrem, L. and Enginoğlu, S.,2019. Adaptive Right Median Filter for Salt-and-Pepper Noise Removal”. 11. 542-550. 10.29137/umagd.495904.
- Hoilund, C. 2007. The Radon Transform. Aalborg University, VGIS, 07gr721 November 12.
- Likforman-Sulem, L., Zahour, A. and Taconet, B. Text Line Segmentation of Historical Documents: a Survey”.
- Louloudis, G., Gatos, B., Pratikakis, I. and Halatsis, C. 2009. Text line and word segmentation of handwritten documents”, Pattern Recognition 42, pp. 3169 – 3183.
- Miciak, M. Character Recognition Using Radon Transformation and Principal Component Analysis in Postal Applications. Proceedings of the International Multiconference on Computer Science and Information Technology, pp. 495 – 500.
- Nicolaou, A. and Gatos, B. 2009. Handwritten Text Line Segmentation by Shredding Text into its Lines. 10th International Conference on Document Analysis and Recognition.
- Radon, J.1986. On the determination of functions from their integral values along certain manifolds. IEEE Transactions on Medical Imaging, vol.5, no.4, pp. 170-176.
Index Terms
Keywords