Symbol Recognition Combining Vectorial and Statistical Features

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.