@Article{MathieuNicolasDelalandre2010,
author="Mathieu Nicolas Delalandre
and Ernest Valveny
and Tony Pridmore
and Dimosthenis Karatzas",
title="Generation of Synthetic Documents for Performance Evaluation of Symbol Recognition \& Spotting Systems",
journal="International Journal on Document Analysis and Recognition",
year="2010",
publisher="Springer-Verlag",
volume="13",
number="3",
pages="187--207",
abstract="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.",
optnote="DAG",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1289), last updated on Tue, 25 Feb 2020 12:59:22 +0100",
issn="1433-2833",
doi="10.1007/s10032-010-0120-x"
}