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In this paper we consider the task of matching patterns, as occur in hand-drawn symbols and schematic diagrams, by their parts and relationships. Of particular interest for computer vision is the integration of two approaches to the recognition by parts problem-graph matching and syntactic rule-based approaches. A new procedure is developed, named CLARET, which matches parts and relationships by tightly coupling the processes of matching and rule generation at run time. We have developed andoi:10.1006/cviu.1998.0742 fatcat:cxiy5xkas5hcdh7entawqlvtou