工程图纸扫描识别一直是模式识别中的难点问题。
The recognition of scanned image of engineering drawing is very difficult in pattern recognition.
工程图纸扫描识别及矢量化在国内外虽然已经进行了相当长时间的研究，但依然未达到智能理解的程度。
The research of scanning, discerning and vectorization of engineering drawing has been carried out for quite a long-time, but it has not reached the degree of intelligence and understand.
基于径向基概率神经网络，提出一种扫描工程图纸图像分割后的图形符号识别方法。
A novel graphic symbol recognition approach of engineering drawings based on radial basis probabilistic neural networks (RBPNN) is proposed.
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