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Recognition of Hand-Drawn Graphs Using Digital-Geometric Techniques

机译:使用数字几何技术识别手绘图

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A novel algorithm to recognize hand-drawn graphs is proposed. The algorithm uses properties of digital-geometric straightness combined with a new idea of Farey sequence, followed by geometric refinement, in order to speed up the recognition of graph edges. In the next phase, the nodes of the graph — which, being hand-drawn, are very grossly circular — are recognized using the annular regions containing the vertices of their corresponding isothetic covers. Results of the two phases are finally compiled using interval search to output the adjacency list of the graph. The problems of jaggedness, waviness, and similar unforeseen aberrations usually present in a hand-drawn graph are well-tackled by the adopted techniques, as verified by our experimentation on various hand-drawn graphs. Some results have been given in this paper to show the usability and efficiency of the proposed algorithm.
机译:提出了一种识别手绘图的新算法。该算法使用数字几何直线度的属性与Farey Sequence的新思想相结合,然后是几何改进,以加速图形边缘的识别。在下一阶段中,图形的节点 - 被手绘,是非常严重的圆形 - 使用包含其相应的各个覆盖物的顶点的环形区域来识别。最终使用间隔搜索汇编两个阶段的结果以输出图形的邻接列表。通常存在于手绘图中通常存在于手绘图中的锯齿状,波纹和类似的不可预见的像差,通过我们的实验在各种手绘图上进行了验证。本文已经给出了一些结果,以展示所提出的算法的可用性和效率。

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