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
Brambilla, C., De Ponti, M., Schettini, R., Valsasna, A. (2002). Digital documents classification for optimized processing and rendering. In CGIV'2002: First European Conference on Color in Graphics, Image and Vision (pp.402-405). IST.
Digital documents classification for optimized processing and rendering
Schettini, R;
2002
Abstract
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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