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The UvA color document dataset

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International Journal of Document Analysis and Recognition (IJDAR) Aims and scope Submit manuscript

Abstract.

Publications on color document image analysis present results on small, nonpublicly available datasets. In this paper we propose a well-defined and groundtruthed color dataset consisting of over 1000 pages, with associated tools for evaluation. As we focus on aspects specific to color documents, we leave out the document textual content in the ground truth. The color data groundtruthing and evaluation tools are based on a well-defined document model, complexity measures to assess the inherent difficulty of analyzing a page, and well-founded evaluation measures. Together they form a suitable basis for evaluating diverse applications in color document analysis. Both the dataset and the tools are available through our Web site at http: //www.science.uva.nl/UvA-CDD

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Authors and Affiliations

  1. Intelligent Sensory Information Systems, University of Amsterdam, Kruislaan 403, 1098SJ, Amsterdam, The Netherlands

    Leon Todoran, Marcel Worring & Arnold W. M. Smeulders

Authors
  1. Leon Todoran
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  2. Marcel Worring
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  3. Arnold W. M. Smeulders
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Corresponding author

Correspondence to Leon Todoran.

Additional information

Received: 15 April 2002, Accepted: 25 February 2004, Published online: 2 February 2005

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Todoran, L., Worring, M. & Smeulders, A.W.M. The UvA color document dataset. IJDAR 7, 228–240 (2005). https://doi.org/10.1007/s10032-004-0135-2

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  • DOI: https://doi.org/10.1007/s10032-004-0135-2

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