Classification of Arabic script using multiple sources of information: State of the art and perspectives
Source of Publication
International Journal on Document Analysis and Recognition
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.
Springer Science and Business Media LLC
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.
Indexed in Scopus