Abstract
AbstractEngineering drawings play an important role in fields such as architecture, industrial engineering, and electric engineering, within which tables contain essential data and structures. However, most engineering drawings exist in the form of scanned PDFs or images, which is inconvenient for data management and storage, especially for table information. Also, many industries are in urgent need of data management software for engineering drawings to improve the degree of digital preservation and management. To this end, a software, ED Manager which is based on the fusion of deep learning and traditional image processing, is presented to detect the position and structure of the table, split and recognize characters, and reconstruct the table in a digital form. Further, we extract crucial information and develop a user interface and database to construct a comprehensive model that fits most engineering drawings. Our software can accurately locate tables for various complex drawings, extract structured information from tables, and build a better data management software for engineering drawings.KeywordsEngineering drawingsTable reconstructionTable structure recognitionOptimal character recognition
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
