@article{torki_window-based_2014,
	title = {Window-Based Descriptors for Arabic Handwritten Alphabet Recognition: A Comparative Study on a Novel Dataset},
	rights = {All rights reserved},
	url = {http://arxiv.org/abs/1411.3519},
	shorttitle = {Window-Based Descriptors for Arabic Handwritten Alphabet Recognition},
	abstract = {This paper presents a comparative study for window-based descriptors on the application of Arabic handwritten alphabet recognition. We show a detailed experimental evaluation of different descriptors with several classifiers. The objective of the paper is to evaluate different window-based descriptors on the problem of Arabic letter recognition. Our experiments clearly show that they perform very well. Moreover, we introduce a novel spatial pyramid partitioning scheme that enhances the recognition accuracy for most descriptors. In addition, we introduce a novel dataset for Arabic handwritten isolated alphabet letters, which can serve as a benchmark for future research.},
	journaltitle = {{arXiv}:1411.3519 [cs]},
	author = {Torki, Marwan and Hussein, Mohamed E. and Elsallamy, Ahmed and Fayyaz, Mahmoud and Yaser, Shehab},
	urldate = {2019-05-01},
	date = {2014-11-13},
	year = {2014},
	eprinttype = {arxiv},
	eprint = {1411.3519},
	keywords = {Computer Science - Computer Vision and Pattern Recognition, I.5.2, I.7.5},
	file = {arXiv\:1411.3519 PDF:C\:\\Users\\Mohamed Hussein\\Zotero\\storage\\ZRQW78SU\\Torki et al. - 2014 - Window-Based Descriptors for Arabic Handwritten Al.pdf:application/pdf;arXiv.org Snapshot:C\:\\Users\\Mohamed Hussein\\Zotero\\storage\\REA9GRJU\\1411.html:text/html}
}

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