Visually Guided Bottom-Up Table Detection and Segmentation in Web Documents

• Bernhard Kropl, Vienna University of Technology, Austria
• Marcus Herzog, Vienna University of Technology, Austria

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Track: Posters

In the AllRight project, we are developing an algorithm for unsupervised table detection and segmentation that uses the visual rendition of a Web page rather than the HTML code. Our algorithm works bottom-up by grouping word bounding boxes into larger groups and uses a set of heuristics. It has already been implemented and a preliminary evaluation on about 6000 Web documents has been carried out.