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Volume: 1 | Article ID: art00085
Digital Documents Classification for Optimized Processing and Rendering
  DOI :  10.2352/CGIV.2002.1.1.art00085  Published OnlineJanuary 2002

The problem addressed in this paper is the high-level problem of distinguishing among photographs, graphics, texts and compound documents. To cope with the great variety of compound documents we have designed a hierarchical classification strategy which first classifies images as compound or not-compound by verifying the homogeneity of the sub-images in terms of low-level features. Not-compound images are then classified as photographs, graphics or texts. Results of our experiments on a database of over 35000 images collected from various sources will be reported and discussed in the final paper.

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R. Schettini, C. Brambilla, A. Valsasna, M.De Ponti, "Digital Documents Classification for Optimized Processing and Renderingin Proc. IS&T CGIV 2002 First European Conf. on Colour in Graphics, Imaging, and Vision,  2002,  pp 402 - 405,

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