A Multi-Agent Approach to Arabic Handwritten Text Segmentation

• 作者: Ashraf Elnagar Rahima Bentrcia
• 来源期刊: 智能学习系统与应用(英文)
• 学科: 工学
• 关键词: CHARACTER SEGMENTATION Handwritten Recognition Systems MULTI-AGENTS ARABIC HANDWRITING
• 年，卷（期）: 2012,（3）
• 页码范围: 207-215
• 页数: 9页
• 分类号: TP39

摘要

The segmentation of individual words into characters is a vital process in handwritten character recognition systems. In this paper, a novel approach is proposed to segment handwritten Arabic text (words). We consider the “Naskh” font style. The segmentation algorithm employs seven agents in order to detect regions where segmentation is illegal. Feature points (end points) are extracted from the remaining regions of the word-image. Initially, the middle of every two successive end points is considered as a candidate segmentation point based on a set of rules. The experimental results are very promising as we achieved a success rate of 86%.