Marwa Amara, Khaled Ghédira, Kamel Zidi, Salah Zidi. A comparative study of multi-class support vector machine methods for Arabic characters recognition. In 12th IEEE/ACS International Conference of Computer Systems and Applications, AICCSA 2015, Marrakech, Morocco, November 17-20, 2015. pages 1-6, IEEE, 2015. [doi]
@inproceedings{AmaraGZZ15,
title = {A comparative study of multi-class support vector machine methods for Arabic characters recognition},
author = {Marwa Amara and Khaled Ghédira and Kamel Zidi and Salah Zidi},
year = {2015},
doi = {10.1109/AICCSA.2015.7507240},
url = {http://dx.doi.org/10.1109/AICCSA.2015.7507240},
researchr = {https://researchr.org/publication/AmaraGZZ15},
cites = {0},
citedby = {0},
pages = {1-6},
booktitle = {12th IEEE/ACS International Conference of Computer Systems and Applications, AICCSA 2015, Marrakech, Morocco, November 17-20, 2015},
publisher = {IEEE},
isbn = {978-1-5090-0478-2},
}