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 linepatterns or histograms of attributes computed from the graphs. Retrieval is either performed using histogram comparison  or thanks to a graph similarity measure . Promising results are presented along with possible work extention.
Relational skeletons for retrieval in patent drawings
ICIP 2001, IEEE International Conference Image Processing, October 7-10 2001, Thessaloniki, Greece
© 2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PERMALINK : https://www.eurecom.fr/publication/689