Visual exploration and functional document labeling

This paper presents a new approach to textual data labeling based on texture analysis. Texture is used here to show the impact of document composition on visual exploration. We demonstrate how textural properties are well adapted to typography characterization by categorizing document regions into visual text classes (such as headings, head- and footnotes, paragraphs, abstracts, etc.). We reference and classify different types of text fonts according to their visual aspect and the visual impression that emerges from the textual data. Experiments on a set of various document images show a good accuracy and robustness for our method