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Additional info for Graphics Recognition. Recent Advances and New Opportunities: 7th International Workshop, GREC 2007, Curitiba, Brazil, September 20-21, 2007. Selected Papers
Symbol recognition with kernel density matching. Trans. on PAMI 28(12), 2020–2024 (2006) 23. php 24. com 25. : A platform to extract knowledge from graphic documents. Application to an architectural sketch understanding scenario. R. ) DAS 2004. LNCS, vol. 3163, pp. 389–400. Springer, Heidelberg (2004) On the Combination of Ridgelets Descriptors for Symbol Recognition O. Ramos Terrades1, , E. Valveny1,2, , and S. Tabbone3 1 2 Computer Vision Center, Spain Dept. fr Abstract. In this paper we propose an original solution to combine the scales of multi-resolution shape descriptors.
The early approaches were oﬀ-line systems mainly devoted to diagram beatiﬁcation , or application cases of pattern recognition theory . With the progress of digital pen and paper protocols such as Tablet PC or PDA, on-line sketch recognition systems gained in prominence. g. the W. Liu, J. -M. ): GREC 2007, LNCS 5046, pp. 29–39, 2008. c Springer-Verlag Berlin Heidelberg 2008 30 A. Forn´es et al. Graﬃtti alphabet for PDA’s. The input of digital pen devices, called digital ink, consists in a sequence of points acquired at regular time intervals and grouped into basic sketch entities called strokes.
4 Results Before the experimental results are presented, we discuss the data, methods, and evaluation measurements: • Data: The presented approach has been evaluated using two databases. The ﬁrst one is a architectural symbol database extracted from a sketching interface. The second one is the GREC2005 database, a public printed symbols database. • Methods: We compare our methodology with the kernel density matching method (KDM) proposed in , ART, Zoning, and Zernike descriptors ,. Hand Drawn Symbol Recognition by Blurred Shape Model 35 To test our system, we use the Discrete Adaboost version  with 50 iterations of decision stumps, and the one-versus-one ECOC coding with Euclidean distance decoding ,.