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High-Performance Preprocessing of Architectural Drawings for Legend Metadata Extraction via OCR

Published:31 August 2017Publication History

ABSTRACT

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.

References

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  1. High-Performance Preprocessing of Architectural Drawings for Legend Metadata Extraction via OCR

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      • Published in

        cover image ACM Conferences
        DocEng '17: Proceedings of the 2017 ACM Symposium on Document Engineering
        August 2017
        242 pages
        ISBN:9781450346894
        DOI:10.1145/3103010

        Copyright © 2017 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 31 August 2017

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        DocEng '17 Paper Acceptance Rate13of71submissions,18%Overall Acceptance Rate178of537submissions,33%
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