Abstract
A set of documents, while creating a building structure, containing the fundamental assumptions and the primary requirements are called engineering construction documents. It acts as a blueprint to provide the engineers or architects a bird’s-eye view of the whole project. Generally, an engineering project comprises of large number of document sheets. These sheets maintain the constructional hierarchy of the projects. Accessing the information manually from a desired sheet becomes laborious and time consuming for an engineer or architect. Therefore, a hyperlinked navigation mechanism is essential to overcome the aforesaid problem. A special graphical representation named ‘callout’, which is usually circular in shape, contains the destination sheet names in such documents. In the automated project navigation process, a callout with the respective destination sheet name must be recognized properly. The destination sheet names are written in an abbreviated form in the callout. Here, we have proposed a novel software approach which can detect the circular callouts and also create hyperlinks to the destination sheets. This work has a significant impact in the AEC (Architectural, Engineering, Constructional) domain and we achieved very encouraging results by our method.
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References
Banerjee, P., Choudhary, S., Das, S., Majumdar, H., Roy, R., Chaudhuri, B.B.: Automatic hyperlinking of engineering drawing documents. In: Proceedings of 12th IAPR Workshop on Document Analysis Systems, Santorini, Greece, (April 2016)
Banerjee, P., et al.: A system for automatic navigation in architectural and construction documents. In: Proceedings of 14th IAPR International Conference on Document Analysis and Recognition, Kyto, Japan, (November 2017)
Cao, R., Tan, C.L.: Separation of overlapping text from graphics. In: Proceedings of 6th International Conference on Document Analysis and Recognition, Seattle, USA, pp. 44–48, (September 2001)
Moreno-García, C.F., Elyan, E., Jayne, C.: Heuristics-based detection to improve text/graphics segmentation in complex engineering drawings. In: Boracchi, G., Iliadis, L., Jayne, C., Likas, A. (eds.) EANN 2017. CCIS, vol. 744, pp. 87–98. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65172-9_8
Tombre, K., Tabbone, S., Pélissier, L., Lamiroy, B., Dosch, P.: Text/graphics separation revisited. In: Lopresti, D., Hu, J., Kashi, R. (eds.) DAS 2002. LNCS, vol. 2423, pp. 200–211. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-45869-7_24
Ahmed, S., Weber, M., Liwicki, M., Dengel, A.: Text_graphics segmentation in architectural floor plans. In: Proceedings of International Conference on Document Analysis and Recognition, Beijing, China, pp. 1520–5363/11, (September 20011)
Fletcher, L.A., Kasturi, R.: A robust algorithm for text string separation from mixed text/graphics images. IEEE Trans. PAMI 10(6), 910–918 (1988)
Chowdhury, S.P., Mandal, S., Das, A.K., Chanda, B.: Segmentation of text and graphics from document images. In: Proceedings of the International Conference on Document Analysis and Recognition, 2 (Section 4), pp. 619–623 (2007)
Lu, Z.: Detection of text regions from digital engineering drawings. IEEE Trans. PAMI 20(4), 431–439 (1998)
Hoang, T.V., Tabbone, S.: Text extraction from graphical document images using sparse representation. In: Proceedings of 9th IAPR Workshop on Document Analysis Systems, Boston, USA, pp. 143–150, (June 2010)
Kim, H.S., Kim, J.H.: A two-step circle detection algorithm from the intersecting chords. In: Proceedings of International Conference on Robotics and Biomimetics (ICRB), pp. 787–798, April 2001. Patt. Recogn. Lett. 22(6/7)
Xiaoyu, S., Ting, J., Shuai, Y., Song, G., Yuxin, L.: Scanning line based random sample consensus algorithm for fast arc detection. In: Proceedings of International Conference on Robotics and Biomimetics, Qingdao, China, pp. 1117–1122, (December 2016)
De, P., Mandal, S., Das, A., Bhowmick, P.: A new approach to detect and classify graphic primitives in engineering drawings. In: Proceedings of 4th International Conference of Emerging Applications of Information Technology, Kolkata, India, pp. 243–248 (2014)
Dosch, P., Masini, G., Tombre, K.: Improving arc detection in graphics recognition. In: Proceedings of 15th International Conference on Pattern Recognition, (September 2000)
Lamiroy, B., Guebbas, Y.: Robust and precise circular arc detection. In: Ogier, J.-M., Liu, W., Lladós, J. (eds.) GREC 2009. LNCS, vol. 6020, pp. 49–60. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13728-0_5
Ye, H., Shang, G., Wang, L., Zheng, M.: A new method based on Hough Transform for quick line and circle detection. In: Proceedings of 8th International Conference on BioMedical Engineering and Informatics, Shenyang, China, pp. 52–56 (2015)
Rizon, M., et al.: Object detection using circular hough transform. Am. J. Appl. Sci. 2(12), 1606–1609 (2005)
Duda, R.O., Hart, P.E.: Use of the hough transformation to detect lines and curves pictures. Commun. ACM 15(1), 11–15 (1972)
Banerjee, P., Chaudhuri, B.B.: An approach for bangla and devanagari video text recognition. In: Proceedings of International Workshop on Multilingual OCR (MOCR), Washington DC, USA (2013). Article no. 8
Cordella, L.P., Vento, M.: Symbol recognition in documents: a collection of techniques. Int. J. Doc. Image Anal. 3(2), 73–88 (2000)
Banerjee, P., Chaudhuri, B.B.: An approach for Bangla and devanagari video text. In: Proceedings of International Workshop on Multilingual OCR, Washington DC, USA
Tripathy, N., Chakraborti, T., Nasipuri, M., Pal, U.: A scale and rotation invariant scheme for multi-oriented character recognition. In: Proceedings of International Conference on Pattern Recognition, pp. 4041–4046, (December 2016)
Banerjee, P., Bhowmick, S.: Bangla text recognition from video sequence: a new focus. In: Proceedings of 2nd National Conference on Computing and Systems, pp. 62–67, (March 2012)
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Maity, S.K. et al. (2018). An Approach for Detecting Circular Callouts in Architectural, Engineering and Constructional Drawing Documents. In: Fornés, A., Lamiroy, B. (eds) Graphics Recognition. Current Trends and Evolutions. GREC 2017. Lecture Notes in Computer Science(), vol 11009. Springer, Cham. https://doi.org/10.1007/978-3-030-02284-6_2
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