@article {ElQacimym20151120,
	title = {An efficient segmentation algorithm for handwritten arabic words},
	journal = {International Review on Computers and Software},
	volume = {10},
	number = {11},
	year = {2015},
	note = {cited By 0},
	pages = {1120-1126},
	abstract = {Segmentation is an essential step for many Arabic handwritten Text recognition systems. It has a direct impact on the efficiency of subsequent steps in the recognition process such as feature extraction and classification, which strongly affects overall recognition performance. This paper presents a novel algorithm for off-line handwritten Arabic word segmentation into subwords. This approach is based on vertical projection and a novel algorithm taking into consideration the characteristics of Arabic script. The proposed method has been successfully tested on the IFN/ENIT database and the results show the effectiveness of our approach in segmenting and isolating sub-words efficiently. {\textcopyright} 2015 Praise Worthy Prize S.r.l. -All rights reserved.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84956884338\&partnerID=40\&md5=713325a3fa28f76f89fa8249c846e146},
	author = {El Qacimym, B.a b and Ait Kerroum, M.c d and Hammouch, A.e f g h}
}
