Pen-based recognition system of Arabic character utilizing structural and fuzzy techniques

F. Bouslama, A. Amin
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引用次数: 22

Abstract

Describes a hybrid approach for the automatic recognition of handwritten Arabic characters. The algorithm is based on structural techniques and fuzzy logic. Local features such as lines, curves, diacritic points are extracted from the geometry and topology of characters. Fuzzy linguistic variables are used to model the features and provide a suitable mean to vaguely describe the many styles and variations in the writing system. The combination of local features provide a natural way to describe characters in a compact style. Fuzzy if-then rules are used for classification. This hybrid technique is efficient for large and complex sets such as Arabic characters.
基于结构和模糊技术的笔式阿拉伯字符识别系统
描述一种自动识别手写阿拉伯字符的混合方法。该算法基于结构技术和模糊逻辑。从字符的几何和拓扑中提取直线、曲线、变音符点等局部特征。模糊语言变量用于对特征进行建模,并提供一种合适的方法来模糊地描述书写系统中的许多风格和变化。局部特征的结合提供了一种自然的方式,以紧凑的风格来描述字符。模糊的if-then规则用于分类。这种混合技术对于大型和复杂的字符集(如阿拉伯字符)是有效的。
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