Symbols Recognition by Global-Local Structural Approaches, Based on the Scenarios Use, and with a XML Representation of Data

This paper deals with the structural recognition of symbols on the documents. We have based our system on a combination of local and global structural approaches. The global approach groups the connected components together according to some closeness and connection constraints. The local approach splits up each connected component into a graph of geometrical objects (vectors, arcs, curves). The extracted graphs are matched thanks to a structural classifier, which permits graph-subgraph and exact-inexact matching. The system adaptability is obtained thanks to the scenarios use. A XML data representation is used, allowing the data manipulations and the graphic representations of results.