First maurdor 2013 evaluation campaign in scanned document image processing

This paper presents the results of the first Maurdor evaluation campaign. This campaign aims at evaluating the complete chain of scanned document image processing. It has a modular structure that includes page segmentation and zone classification, identification of writing type and language, optical character recognition and revealing logical structure of a document. This campaign is based on a unique corpus of 8,000 images of scanned documents annotated at different levels. Presentation of the results of the first campaign is important to assess the state-of-the-art and create common references both for participants in future campaigns and, as the scoring tools are publicly available, for independent tests.