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Error-Correcting Isomorphisms of Attributed Relational Graphs for Pattern Analysis

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2 Author(s)

The pattern deformational model proposed by Tsai and Fu [11] is extended so that numerical attributes and probability or density distributions can be introduced into primitives and relations in a nonhierarchical relational graph. Conventional graph isomorphisms are then generalized to include error-correcting capability for matching deformed patterns represented by such attributed relational graphs. An ordered-search algorithm is proposed for determining error-correcting isomorphisms. Finally, a pattern classification approach using graph isomorphisms is described, which can be considered as a combination of structural and statistical techniques.

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IEEE Transactions on Systems, Man, and Cybernetics  (Volume:9 ,  Issue: 12 )