Efficient relational matching with local edit distance

This paper describes a novel framework for comparing and matching corrupted relational graphs. The paper develops the idea of edit distance originally used for graph-matching by Sanfeliu and Fu (1983). We show how the normalised edit distance of Marzal and Vidal (1993) can be used to model the probability distribution for structural errors in the graph-matching problem. This probability distribution is used to locate matches using MAP label updates. We compare the resulting graph-matching algorithm with that reported by Wilson and Hancock (1997).