Classification of Arabic script using multiple sources of information: State of the art and perspectives
Document Type
Article
Source of Publication
International Journal on Document Analysis and Recognition
Publication Date
7-1-2003
Abstract
Abstract.In this paper, we present a review of the state of the art in the current classification techniques used in the optical character recognition of the Arabic script (AOCR). We consider multiple sources of information-based hybrid approaches and multiple classifiers. We show that in order to improve classification results obtained with single classifiers, it is necessary to combine several sources of information either at the level of feature extraction/description, or at the classification stage, or at both levels. We provide a qualitative comparison and discuss the strengths and weaknesses of these approaches.
DOI Link
ISSN
Publisher
Springer Science and Business Media LLC
Volume
5
First Page
195
Last Page
212
Disciplines
Computer Sciences
Recommended Citation
Amara, Najoua Essoukri Ben and Bouslama, Faouzi, "Classification of Arabic script using multiple sources of information: State of the art and perspectives" (2003). All Works. 934.
https://zuscholars.zu.ac.ae/works/934
Indexed in Scopus
no
Open Access
no