Abstract
Empirical performance evaluation of raster to vector methods is an important topic in the area of graphics recognition. By studying automatic vectorization methods we can reveal the maturity of the tested methods whether as a research prototype or a commercial software. Arc Segmentation Contest held in conjunction with the eighth IAPR International Workshop on Graphics Recognition (GREC’09) is an excellent opportunity for researchers to present the results of their proposed raster to vector methods. The contest provides a uniform platform where the output of different methods can be analyzed. The relevance of the contest is further revealed by the creation of new test images with their ground truth data. Old documents were used in this contest. Five methods participated (two research prototypes and three commercial software). Two tests were performed namely between-methods test (participated by all methods) and within-method test (participated by only one method). This paper presents the results of the contest.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Kong, B., Phillips, I., Haralick, R., Prasad, A., Kasturi, R.: A benchmark: Performance evaluation of dashed-line detection algorithms. In: Kasturi, R., Tombre, K. (eds.) Graphics Recognition 1995. LNCS, vol. 1072, pp. 270–285. Springer, Heidelberg (1996)
Chhabra, A.K., Phillips, I.T.: The second international graphics recognition contest - raster to vector conversion: A report. In: Chhabra, A.K., Tombre, K. (eds.) GREC 1997. LNCS, vol. 1389, pp. 390–410. Springer, Heidelberg (1998)
Chhabra, A.K., Phillips, I.T.: Performance evaluation of line drawing recognition systems. In: Proc. 15th International Conference on Pattern Recognition, Barcelona, vol. 4, pp. 864–869 (2000)
Tombre, K.: International workshop on graphics recognition - dashed-line detection contest, http://www.loria.fr/~tombre/contest.html (accessed in June 2009)
Phillips, I.T., Chhabra, A.K.: Empirical performance evaluation of graphics recognition systems. IEEE Transactions on Pattern Analysis and Machine Intelligence 21(9), 849–870 (1999)
Liu, W.Y., Zhai, J., Dori, D.: Extended summary of the arc segmentation contest. In: Blostein, D., Kwon, Y.-B. (eds.) GREC 2001. LNCS, vol. 2390, pp. 343–349. Springer, Heidelberg (2002)
Liu, W.: Report of the arc segmentation contest. In: Lladós, J., Kwon, Y.-B. (eds.) GREC 2003. LNCS, vol. 3088, pp. 364–367. Springer, Heidelberg (2004)
Wenyin, L.: The third report of the arc segmentation contest. In: Liu, W., Lladós, J. (eds.) GREC 2005. LNCS, vol. 3926, pp. 358–361. Springer, Heidelberg (2006)
Shafait, F., Keysers, D., Breucl, T.M.: GREC 2007 arc segmentation contest: Evaluation of four participating algorithms. In: Liu, W., Lladós, J., Ogier, J.-M. (eds.) GREC 2007. LNCS, vol. 5046, pp. 310–320. Springer, Heidelberg (2008)
Shafait, F., Keysers, D., Breuel, T.M.: Pixel-accurate representation and evaluation of page segmentation in document images. In: Proceedings of the 18th International Conference on Pattern Recognition, vol. 1, pp. 872–875 (2006)
Liu, W.Y., Dori, D.: A protocol for performance evaluation of line detection algorithms. Machine Vision and Applications 9(5-6), 240–250 (1997)
Peatfield, A.E.: Teach Yourself Mechanical Engineering. E.L.B.S. and English Universities Press, London (1965)
Kurtz, M.: Mechanical Engineers’ Handbook. John Wiley & Sons, Chichester (1986)
ImLab: Free image processing system, http://imlab.sourceforge.net/
Liu, W.Y., Dori, D.: Incremental arc segmentation algorithm and its evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(4), 424–431 (1998)
Lamiroy, B., Guebbas, Y.: Robust Circular Arc Detection. In: Ogier, J.-M., Liu, W., Lladós, J. (eds.) GREC 2009. LNCS, vol. 6020. Springer, Heidelberg (2009)
VPstudio: Raster to vector conversion software, softelec, Munich, Germany, http://www.softelec.com and http://www.hybridcad.com
Scan2CAD: Raster to vector conversion software, softcover international limited, Cambridge, England, http://www.softcover.com
Vectory: Vectorization software, graphikon gmbh, Berlin, Germany, http://www.graphikon.de
Hilaire, X., Tombre, K.: Robust and accurate vectorization of line drawings. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(6), 890–904 (2006)
Jiqiang, S., Feng, S., Chiew-Lan, T., Shijie, C.: An object-oriented progressive-simplification-based vectorization system for engineering drawings: model, algorithm, and performance. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(8), 1048–1060 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Al-Khaffaf, H.S.M., Talib, A.Z., Osman, M.A., Wong, P.L. (2010). GREC’09 Arc Segmentation Contest: Performance Evaluation on Old Documents. In: Ogier, JM., Liu, W., Lladós, J. (eds) Graphics Recognition. Achievements, Challenges, and Evolution. GREC 2009. Lecture Notes in Computer Science, vol 6020. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13728-0_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-13728-0_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13727-3
Online ISBN: 978-3-642-13728-0
eBook Packages: Computer ScienceComputer Science (R0)