基于分形特征的东西方文字辨析

Yu Tao, Y. Tang
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引用次数: 13

摘要

提出了一种基于改进分形特征(MFS)和改进分形特征(MFF)的东西方文字识别新方法。这些方法将有助于模式的测量和分类。MFS不需要迭代分解或合并,并且可以在单个步骤中将文档分成块。将MFF算法应用于选定的一组纹理图像的识别和分类,取得了较好的效果。预期这种方法可以广泛用于处理各种类型的文件,甚至包括一些几何复杂度很高的文件。
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Discrimination of Oriental and Euramerican scripts using fractal feature
This paper presents a new approach based on modified fractal signatures (MFS) and modified fractal features (MFF)for the discrimination of Oriental and Euramerican scripts. These methods will be useful in the measurement and classification of patterns. MFS do not need iterative breaking or merging, and can divide a document into blocks in a single step. MFF is also used in the identification and classification of a selected set of texture images with good results. It is anticipated that this approach could be widely used to process various types of documents, even including some with high geometrical complexity.
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