%0 Conference Proceedings
%T A framework for the assessment of text extraction algorithms on complex colour images
%A Antonio Clavelli
%A Dimosthenis Karatzas
%A Josep Llados
%B 9th IAPR International Workshop on Document Analysis Systems
%D 2010
%@ 978-1-60558-773-8
%F Antonio Clavelli2010
%O DAG
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1432), last updated on Mon, 15 May 2017 10:20:11 +0200
%X The availability of open, ground-truthed datasets and clear performance metrics is a crucial factor in the development of an application domain. The domain of colour text image analysis (real scenes, Web and spam images, scanned colour documents) has traditionally suffered from a lack of a comprehensive performance evaluation framework. Such a framework is extremely difficult to specify, and corresponding pixel-level accurate information tedious to define. In this paper we discuss the challenges and technical issues associated with developing such a framework. Then, we describe a complete framework for the evaluation of text extraction methods at multiple levels, provide a detailed ground-truth specification and present a case study on how this framework can be used in a real-life situation.
%U http://dx.doi.org/10.1145/1815330.1815333
%P 19–26