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A Study on Information Extraction Method of Engineering Drawing Tables

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 50 - Number 16
Year of Publication: 2012
Authors:
Riza Sulaiman
Mohd Fahmi Mohamad Amran
Nur Amlya Abd Majid
10.5120/7859-1158

Riza Sulaiman, Mohd Fahmi Mohamad Amran and Nur Amlya Abd Majid. Article: A Study on Information Extraction Method of Engineering Drawing Tables. International Journal of Computer Applications 50(16):43-47, July 2012. Full text available. BibTeX

@article{key:article,
	author = {Riza Sulaiman and Mohd Fahmi Mohamad Amran and Nur Amlya Abd Majid},
	title = {Article: A Study on Information Extraction Method of Engineering Drawing Tables},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {50},
	number = {16},
	pages = {43-47},
	month = {July},
	note = {Full text available}
}

Abstract

In getting an existing engineering drawing to be reuse, the first step to be done is to search for the appropriate file. To get the desired drawing, an engineer will have to access every file. This procedure consumed much time and energy as there might be lots of files and folders related to the drawings. To ease engineers search for old engineering drawings, the extraction of the table structure has to be done. This paper describes review on recent research in extraction of engineering drawing tables. Along the way of this reviewing process, the weakness and downside of previous researches has been identified.

References

  • T. Lu, C. L. Tai, F. Su, S. J. Cai. A New Recognition Model for Electronic Architectural Drawings. Computer-Aided Design 37 (10), pp. 1053-1069, (2005).
  • Amran, Mohd. Fahmi Mohamad; Sulaiman, Riza; Kahar, Saliyah; Marjudi, Suziyanti; Abdullah, Khairul Annuar; Adnan, Zuraidy; , "A comparative study on extraction method of non-geometry information in engineering drawing," Business, Engineering and Industrial Applications (ISBEIA), 2011 IEEE Symposium on , vol. , no. , pp. 5-9, 25-28 Sept. 2011.
  • T. Lu, R. Yang, F. Su, S. J. Cai. Understanding of complex engineering tables for automatic 3D modeling. International Workshop on Graphics Recognition (GREC'07), pp. 1-3. (2007).
  • Y. Cao, S. H. Wang, H. Li. Automatic Recognition of Tables in Construction Tender Documents. Automation in Construction 11, 573– 584 (2002).
  • M. F. A. Jabal et al. A Comparative Study on Extraction and Recognition Method of CAD Data from CAD Drawings. International Conference on Information Management and Engineering, pp. 709-913 (2009).
  • Z. Lu. Detection of Text Regions from Digital Engineering Drawings. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 4, 431-439 (1998).
  • T. Lu et al. Knowledge Extraction from Structured Engineering Drawings. Proceedings of the 5th International Conference on Fuzzy Systems and Knowledge Discovery, pp. 415-419 (2008).
  • Y. Cao et al. Using Engineering Drawing Interpretation for Automatic Detection of Version Information in CADD Engineering Drawing. Automation in Construction 14, pp. 361-367 (2005).
  • L. Najman, O. Gibot, S. Berche. Indexing Technical Drawings using Title Block Structure Recognition. In Proceedings of 6th International Conference on Document Analysis and Recognition, Seattle (USA), pp. 587–591 (2001).
  • N. Weber, A. Henrich. Retrieval of technical drawings in DXF format - concepts and problems. LWA 2007, pp. 213-220 (2007).
  • J. F. Arias, A. K. Chhabra, V. Misra, A Practical Application of Graphics Recognition: Helping with the Extraction of Information from Telephone Company Drawings. In Proc. GREC, pp. 314-321 (1997).
  • L. Najman, O. Gibot, M. Barbey. Automatic Title Block Location in Technical Drawings. In Proceedings of 4th IAPR International Workshop on Graphics Recognition, Kingston, Ontario (Canada), pp. 19-26 (2001).
  • T. S. Mahmood. Extracting Indexing Keywords from Image Structures in Engineering Drawings. Fifth International Conference on Document Analysis and Recognition (ICDAR'99), pp. 471-474 (1999).
  • M. Ondrejcek et al. Information Extraction from Scanned Engineering Drawings. Image Spatial Data Analysis Group, National Center for Supercomputing Applications. Urbana, IL, Tech. Rep. NCSA-ISDA09-001 (2009).