Vectorial Signatures for Symbol Discrimination

In this paper, we present a method based on vectorial signatures, which aims at discriminating, by a fast technique, symbols represented within technical documents. Considering a raw vectorial description of the graphical layer of a technical document, we have based our approach on a method proposed by Etemadi et al. The signature of all models of symbols that could be found in a given document are computed and matched against the signature of the document, in order to determine what symbols the document is likely to contain. A quality factor associated with each relation is used to prune relations whose quality factor is too low. We present the first tests obtained with this method, and we discuss the improvements we plan to do.