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

机译:利用结构和模糊技术的阿拉伯语字符识别系统

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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.
机译:描述了一种自动识别手写阿拉伯语字符的混合方法。该算法基于结构技术和模糊逻辑。诸如线条,曲线,读音点的局部特征是从字符的几何形状和拓扑中提取的。模糊语言变量用于建模特征,并提供适当的平均值,以模糊地描述写作系统中的许多风格和变化。本地特征的组合提供了一种自然的方式来描述紧凑的风格。模糊IF-DEN-DEN规则用于分类。这种混合技术对于诸如阿拉伯字符的大型和复杂的套装是有效的。

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