绘图计算机化与智能建库算法

Beibei Wang, Xue Yuan, Bo Li
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引用次数: 0

摘要

在工程、制造业、电子工业、交通运输等行业,积累了大量的纸质图纸。这些纸质图纸是公司的重要资源积累。纸质图纸存在着不方便保存、无法建立数据库实现资源重用等缺点。为此,本文提出了一种新的无人值守绘图计算机化和数据库智能化建立算法。首先根据深度学习目标检测算法定位关键文本区域的位置,然后检测文本区域内的文本行并进行文本识别。最后,根据识别结果建立数据库。实验结果表明,该算法的平均准确率为98.6%。与现有的绘图检索算法相比,该算法采用深度学习对象检测算法对文本区域进行初步定位。可以进一步提高图纸信息提取的准确性,实现无人值守纸质图纸的计算机化和数据库的智能化建立。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drawing Computerization and Intelligent Database Building Algorithm
In engineering, manufacturing, electronic industry, transportation and other industries, a large number of paper drawings have been accumulated. These paper drawings are an important resource accumulation of the companies. Paper drawings have some disadvantages, such as inconvenient to save, unable to establish database to realize resource reuse and so on. Therefore, this paper proposes a new algorithm of unattended drawing computerization and database intelligent establishment. Firstly, the position of the key text area is located according to the deep learning object detection algorithm, then the text lines in the text area are detected and the text is recognized. Finally, the database is established according to the recognition results. The experimental results show that the average accuracy of the proposed algorithm is 98.6%. Compared with the existing drawing retrieval algorithm, the algorithm uses deep learning object detection algorithm to initially locate the text area. It can further improve the accuracy of drawing information extraction, and realize the unattended paper drawing computerization and intelligent establishment of database.
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