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Recognition of electrical symbols in document images using morphology and geometric analysis

机译:使用形态学和几何分析识别文档图像中的电子符号

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A robust and efficient algorithm for recognition of electrical symbols in digitized documents is proposed. The algorithm is based on morphological operations and geometric analysis to recognize different classes of symbols. Its novelty lies in building and usage of three spaces, namely H-, V -, and C-spaces, which respectively contain the horizontal line segments, the vertical line segments, and the circuit symbols present in the concerned drawing. These three spaces are built by morphological operations, which, in turn, are searched and scanned in a scientific way during the geometric analysis in order to obtain the recognized symbols by verifying the structural combination of their constituent primitives. Exhaustive experimentation has been performed to test the performance of the algorithm. Some of the results are presented in this paper to demonstrate its robustness, efficiency, and versatility.
机译:提出了一种鲁棒高效的数字文档电子符号识别算法。该算法基于形态学运算和几何分析来识别不同类别的符号。它的新颖之处在于三个空间的构建和使用,即H空间,V空间和C空间,它们分别包含水平线段,垂直线段和相关图中存在的电路符号。这三个空间是通过形态学运算建立的,然后在几何分析过程中以科学的方式对其进行搜索和扫描,以便通过验证其构成原语的结构组合来获得识别出的符号。已经进行了详尽的实验以测试算法的性能。本文提供了一些结果,以证明其鲁棒性,效率和多功能性。

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