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Symbol recognition in electronic diagrams using decision tree

机译:使用决策树在电子图中识别符号

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Introduces a recognition method for electronic element symbols based on a decision tree, which has been used in the automatic input system developed by us for electronic circuit diagrams. The features of element symbols are extracted directly from the rectangular raster. We propose a feature extraction method projecting on four side-bands. It plays an important role in the whole decision process. This "decision tree" has obvious advantages, such as high speed, less memory and easy realization on a microcomputer.
机译:介绍一种基于决策树的电子元件符号识别方法,该方法已在我们为电子电路图开发的自动输入系统中使用。元素符号的特征直接从矩形栅格中提取。我们提出了一种在四个边带上投影的特征提取方法。它在整个决策过程中起着重要作用。这种“决策树”具有明显的优势,例如速度高,内存少以及在微机上易于实现。

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