Relational skeletons for retrieval in patent drawings
نویسندگان
چکیده
This paper presents the evaluation of a number of algorithm alternatives for content based retrieval from a database of technical drawings representing patents. The objective is to help patent evaluators in their quest for a possible patent bearing too much similarity with the one under investigation. To achieve this, we have devised a system where images (drawings) are represented using attributed graphs based on the extracted line-patterns or histograms of attributes computed from the graphs. Retrieval is either performed using histogram comparison [6] or thanks to a graph similarity measure [9]. Promising results are presented along with possible work extention.
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