Abstract
In this paper, we investigates symbol representation introducing a new hybrid approach. Using a combination of statistical and structural descriptors, we overcome deficiencies of each method taken alone. Indeed, a Region Adjacency Graph of loops is associated with a graph of vectorial primitives. Thus, a loop is both representend in terms of its boundaries and its content. Some preliminary results are provided thanks to the evaluation protocol established for the GREC 2003 workshop. Experiments have shown that the existing system does not really suffer from errors but needs to take advantage of vectorial primitives which are not involved in the definition of loops.
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References
Joseph, S., Pridmore, T.: Knowledge-directed interpretation of mechanical engineering drawings. IEEE Transactions on Pattern Analysis and Machine Intelligence 14(9), 928–940 (1992)
Lladós, J., Valveny, E., Sánchez, G.: A case study of pattern recognition: Symbol recognition in graphic documents. In: Ogier, J.-M., Trupin, É. (eds.) Pattern Recognition in Information Systems, Proceedings of the 3rd International Workshop on Pattern Recognition in Information Systems, pp. 1–13. ICEIS Press (2003)
Cordella, L.P., Vento, M.: Symbol recognition in documents: a collection of techniques? International Journal on Document Analysis and Recognition 3(2), 73–88 (2000)
Valveny, E., Dosch, P.: Symbol recognition contest: A synthesis. In: Lladós, J., Kwon, Y.-B. (eds.) GREC 2003. LNCS, vol. 3088, pp. 368–385. Springer, Heidelberg (2004)
Yan, L., Huang, G., Yin, L., Wenyin, L.: A novel constraint-based approach to online graphics recognition. In: Fred, A., Caelli, T.M., Duin, R.P.W., Campilho, A.C., de Ridder, D. (eds.) SSPR&SPR 2004. LNCS, vol. 3138, pp. 104–113. Springer, Heidelberg (2004)
Peng, B., Liu, Y., Liu, W., Huang, G.: Sketch recognition based on topological spatial relationship. In: Fred, A., Caelli, T.M., Duin, R.P.W., Campilho, A.C., de Ridder, D. (eds.) SSPR&SPR 2004. LNCS, vol. 3138, pp. 434–443. Springer, Heidelberg (2004)
Ramel, J.Y., Vincent, N.: Strategy for line drawing understanding. In: Lladós, J., Kwon, Y.-B. (eds.) GREC 2003. LNCS, vol. 3088, pp. 1–12. Springer, Heidelberg (2004)
Messmer, B.T., Bunke, H.: A decision tree approach to graph and subgraph isomorphism detection. Pattern Recognition 32, 1979–1998 (1999)
Lopresti, D.P., Wilfong, G.T.: Evaluating document analysis results via graph probing. In: 6th International Conference on Document Analysis and Recognition, pp. 116–120 (2001)
Cordella, L.P., Foggia, P., Sansone, C., Vento, M.: A (sub)graph isomorphism algorithm for matching large graphs. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(10) (2004)
Khotanzad, A., Hong, Y.: Invariant image recognition by zernike moments. IEEE Transactions on Pattern Analysis and Machine Intelligence 12(5), 489–497 (1990)
Adam, S., Ogier, J., Cariou, C., Gardes, J.: A scale and rotation parameters estimator application to technical document interpretation. In: Blostein, D., Kwon, Y.-B. (eds.) GREC 2001. LNCS, vol. 2390, pp. 266–272. Springer, Heidelberg (2002)
Mukundan, R., Ong, S., Lee, P.: Image analysis by tchebichef moments. IEEE Transactions on image Processing 10(9), 1357–1364 (2001)
Ramos, O., Valveny, E.: Radon transform for lineal symbol representation. In: Proceedings of the Seventh International Conference on Document Analysis and Recognition, Edinburgh, Scotland, pp. 195–199 (2003)
Tabbone, S., Wendling, L., Tombre, K.: Matching of graphical symbols in line-drawing images using angular signature information. International Journal on Document Analysis and Recognition 6(2), 115–125 (2003)
Chong, C.-W., Raveendran, P., Mukundan, R.: Translation and scale invariants of legendre moments. Pattern Recognition 37, 119–129 (2004)
Yang, S.: Symbol recognition via statistical integration of pixel-level constraint histograms: A new descriptor. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(2), 278–281 (2005)
Kanungo, T., Haralick, R.M., Baird, H.S., Stuezle, W., Madigan, D.: Document degradation models: Parameter estimation and model validation. In: IAPR Workshop on Machine Vision Applications, pp. 552–557 (1994)
Lladós, J., Marti, E., Villanueva, J.: Symbol recognition by error-tolerant subgraph matching between region adjacency graphs. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(10), 1137–1143 (2001)
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Locteau, H., Adam, S., Trupin, É., Labiche, J., Héroux, P. (2006). Symbol Recognition Combining Vectorial and Statistical Features. In: Liu, W., Lladós, J. (eds) Graphics Recognition. Ten Years Review and Future Perspectives. GREC 2005. Lecture Notes in Computer Science, vol 3926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11767978_7
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DOI: https://doi.org/10.1007/11767978_7
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