Ontology-Based Approach for Online Arabic Character Recognition

Houda Nakkach, Soumaya Hichri, Sofiene Haboubi, H. Amiri
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引用次数: 2

Abstract

The pattern recognition domain, particularly the online Arabic character recognition is a rich area of research. This paper puts forward a new approach for character recognition using domain ontology. Our main idea is based on the modeling of Arabic character by construction of ontology created by a domain expert. This ontology consists of a set of concepts and spatial relations between them. The concepts represent the strokes extracted by segmenting the character introduced. The aim of this work is to study the role of domain ontologies and their contributions in the recognition phase.
基于本体的在线阿拉伯字符识别方法
模式识别领域,特别是在线阿拉伯文字符识别是一个非常丰富的研究领域。提出了一种基于领域本体的字符识别新方法。我们的主要思想是通过构建领域专家创建的本体对阿拉伯文字进行建模。这个本体由一组概念和它们之间的空间关系组成。这些概念表示通过分割引入的字符提取的笔画。这项工作的目的是研究领域本体的作用及其在识别阶段的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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