Graphic-based character grouping in topographic maps
Graphic-based character grouping in topographic maps
复制标题
DOI：
10.1016/j.neucom.2015.12.094
复制
发表时间：
2016-05
期刊：
影响因子：
6
通讯作者：
Pengfei Xu;Q. Miao;Tiange Liu;Xiaojiang Chen;Weike Nie
中科院分区：
文献类型：
--
作者：
Pengfei Xu;Q. Miao;Tiange Liu;Xiaojiang Chen;Weike Nie
在地形图中，只有完整的文本串才能准确地表达地理要素的属性，因此在识别之前应将单个字符分组为文本串。提出了一种新的基于图模型的字符分组方法。该方法使用无向图来描述不同的词，其中字符的颜色和大小作为节点的属性，字符之间的距离和角度作为连接字符对的边的权重。因此，可以根据节点的性质将节点连接起来构造无向图。然后根据边的权值对构造的图进行简化。最后，我们可以得到与分组字符相对应的最终结果。实验结果表明，该方法尤其能对间距较大的字符进行分组。此外，用图形处理代替图像处理具有更高的效率。
In topographic maps, only the complete text strings can accurately express the properties of the geographic elements, so individual characters should be grouped into text strings before recognition. This paper presents a novel character grouping method based on the graph model. In this method, undirected graphs are used to describe different words, where the color and size of the characters are served as the properties of the nodes, while the distance and angle between the characters are served as the weights of the edges connecting pairs of characters. Therefore, the nodes can be connected to construct undirected graphs according to their properties. Then the constructed graphs are simplified according to the weights of the edges. Finally, we can get the final results corresponding to the grouped characters. Experimental results show that this method can especially group the characters with significant wide spacing. Moreover, it has higher efficiency with graphic processing instead of image processing.