基于OCR的建筑图纸图例元数据提取的高性能预处理

Tamir Hassan, J. Vergés-Llahí, Andres Gonzalez
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引用次数: 0

摘要

本文描述了对建筑图的预处理方法的研究结果,使它们能够通过OCR快速处理,检测包含相关元数据图例的区域,并以机器可读的形式获得它,例如自动折叠和文件命名应用程序。我们将展示适应这种类型内容的处理管道如何大大减少处理时间,并保持可接受的准确性。初步结果显示,对于遇到的大多数文档,总处理时间从2- 3分钟减少到大约15秒,折叠方向在78%的情况下被正确检测到,图例区域在60%的情况下被完全检测到,对于手头的用例来说已经足够高了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-Performance Preprocessing of Architectural Drawings for Legend Metadata Extraction via OCR
This paper describes the results of an investigation into methods of preprocessing architectural plots to enable them to be processed very quickly via OCR, detecting the region containing the relevant metadata legend and obtaining it in machine-readable form for e.g. automated folding and filenaming applications. We show how a processing pipeline adapted to this type of content can vastly decrease processing time, maintaining acceptable accuracy. Initial results show a reduction in total processing time from 2--3 minutes to around 15 seconds for most documents encountered, with the folding orientation being correctly detected in 78% of cases and the legend region being completely detected in 60% of cases, high enough for the use-case at hand.
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