Abstract
In this paper we present a symbols recognition system for graphic documents, based on a combination of global structural approaches. Our system allows to extract components and their loops, with their inclusion and neighboring links. So, it is possible to construct different graph types according to the considered recognition problem. Our system uses an XML representation of data, which allows an easy manipulation of these ones. We present some results on a symbols set of GREC2003’s recognition contest.
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Delalandre, M., Trupin, É., Ogier, JM. (2004). Symbols Recognition System for Graphic Documents Combining Global Structural Approaches and Using a XML Representation of Data. In: Fred, A., Caelli, T.M., Duin, R.P.W., Campilho, A.C., de Ridder, D. (eds) Structural, Syntactic, and Statistical Pattern Recognition. SSPR /SPR 2004. Lecture Notes in Computer Science, vol 3138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27868-9_45
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DOI: https://doi.org/10.1007/978-3-540-27868-9_45
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