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On the application of geometrical form description techniques to automatic key-sections recognition

机译:几何形式描述技术在关键部位自动识别中的应用

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Automatic key-section recognition is approached by a two-step procedure. The first step is a screening based on arc/straight-segment classification, which associates to each key section a morphological pattern. The second step measures the string distances by means of nonlinear elastic matching among the key-sections possessing the same morphological description. Arc/straight-segment classification, a typical geometrical form description problem, is studied by two techniques, one based on Euclidean geometry notions and the other based on discrete geometry. The results achieved by the second technique appear superior. The performance of the recognition procedure on key-section databases of practical significance are very satisfactory.
机译:通过两步过程接近自动键盘识别。第一步是基于电弧/直链段分类的筛选,其与每个关键部分相关联的形态模式。第二步骤通过具有相同形态学描述的关键部分之间的非线性弹性匹配来测量弦距离。电弧/直段分类,典型的几何形式描述问题是通过两种技术研究,一个基于欧几里德几何概念,另一个基于离散几何形状。通过第二种技术实现的结果出现优越。识别程序对实际意义的关键部分数据库的表现非常令人满意。

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