A word level segmentation for off-line Arabic characters  

作　　者：Abbas H HASSIN 黄建华 唐降龙 

机构地区：[1]Dept. of Computer Science, Harbin Institute of Technology, Harbin 150001, China

出　　处：《Journal of Harbin Institute of Technology(New Series)》2002年第4期391-396,共6页哈尔滨工业大学学报（英文版）

摘　　要：Segmentation of cursive text has been one of the major problems in Arabic writing. The problem is the shape of the letter which is context sensitive, depending on it’s location within a word. Many text recognition systems recognize text imagery at the character level and assemble words from the recognized characters. Unfortunately this approach does not work with Arabic text. In this paper we describe a new approach to segment Arabic text imagery at a word level, without analyzing individual characters. This approach avoids the problem of individual characters segmentation, and can overcome local errors in character recognition.Segmentation of cursive text has been one of the major problems in Arabic writing. The problem is the shape of the letter which is context sensitive, depending on it's location within a word. Many text recognition systems recognize text imagery at the character level and assemble words from the recognized characters. Unfortunately this approach does not work with Arabic text. In this paper we describe a new approach to segment Arabic text imagery at a word level, without analyzing individual characters. This approach avoids the problem of individual characters segmentation, and can overcome local errors in character recognition.

关 键 词：OCR SEGMENTATION technique OFF-LINE RECOGNITION 

分 类 号：TP391.2[自动化与计算机技术—计算机应用技术]