%0 Journal Article
%T Generation of Synthetic Documents for Performance Evaluation of Symbol Recognition & Spotting Systems
%A Mathieu Nicolas Delalandre
%A Ernest Valveny
%A Tony Pridmore
%A Dimosthenis Karatzas
%J International Journal on Document Analysis and Recognition
%D 2010
%V 13
%N 3
%I Springer-Verlag
%@ 1433-2833
%F Mathieu Nicolas Delalandre2010
%O DAG
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1289), last updated on Tue, 25 Feb 2020 12:59:22 +0100
%X This paper deals with the topic of performance evaluation of symbol recognition & spotting systems. We propose here a new approach to the generation of synthetic graphics documents containing non-isolated symbols in a real context. This approach is based on the definition of a set of constraints that permit us to place the symbols on a pre-defined background according to the properties of a particular domain (architecture, electronics, engineering, etc.). In this way, we can obtain a large amount of images resembling real documents by simply defining the set of constraints and providing a few pre-defined backgrounds. As documents are synthetically generated, the groundtruth (the location and the label of every symbol) becomes automatically available. We have applied this approach to the generation of a large database of architectural drawings and electronic diagrams, which shows the flexibility of the system. Performance evaluation experiments of a symbol localization system show that our approach permits to generate documents with different features that are reflected in variation of localization results.
%U http://dx.doi.org/10.1007/s10032-010-0120-x
%P 187-207