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Decomposition of Chinese character into strokes using mathematical morphology

机译:使用数学形态学将汉字分解为笔画

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摘要

In off-line character recognition, reliable extraction of strokes greatly influences the overall performance of the system. We propose a novel method of decomposing a Chinese character into a set of strokes, based on the concepts of mathematical morphology. A character is segmented after being thinned using morphological operation. Each segment is expanded by morphological operations such as elongation, fattening and isotropic expansion then intersected with the original input shape. The expanded segments are merged using a convexity measure at the final stage. The final merged segments are regarded as basic strokes of a character. To show the effectiveness of the method, we perform experiments and the results show the validity of the proposed method.
机译:在脱机字符识别中,笔划的可靠提取极大地影响了系统的整体性能。我们基于数学形态学的概念,提出了一种将汉字分解为一组笔画的新颖方法。使用形态运算对字符进行细化后对其进行分段。每个部分都通过诸如伸长,增肥和各向同性膨胀的形态学操作进行扩展,然后与原始输入形状相交。在最后阶段,使用凸度度量合并了扩展的段。最终合并的段被视为字符的基本笔划。为了证明该方法的有效性,我们进行了实验,结果表明了该方法的有效性。

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