An efficient segmentation algorithm for handwritten arabic words

TitreAn efficient segmentation algorithm for handwritten arabic words
Publication TypeJournal Article
Year of Publication2015
AuthorsQacimym, Bab El, Kerroum, Mcd Ait, Hammouch, Aef g h
JournalInternational Review on Computers and Software
Volume10
Pagination1120-1126
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. © 2015 Praise Worthy Prize S.r.l. -All rights reserved.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84956884338&partnerID=40&md5=713325a3fa28f76f89fa8249c846e146
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