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In this paper, we propose a syntactic pattern recognition method for non-schematic drawings, based on a new attributed graph grammar with flexible embedding. In our graph grammar, the embedding rule permits the nodes of a guest graph to be arbitrarily connected with the nodes of a host graph. The ambiguity caused by this flexible embedding is controlled with the evaluation of synthesized attributes and the check of context sensitivity. To integrate parsing with the synthesized attribute evaluation and the context sensitivity check, we also develop a bottom up parsing algorithm.
Kyu Jae Lee,T. L. Kunii, andT. Noma
"Nonschematic drawing recognition: a new approach based on attributed graph grammar with flexible embedding", Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); https://doi.org/10.1117/12.138479
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Kyu Jae Lee, T. L. Kunii, T. Noma, "Nonschematic drawing recognition: a new approach based on attributed graph grammar with flexible embedding," Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); https://doi.org/10.1117/12.138479