Bernhard Krüpl
ABSTRACT
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.
- B. Krüpl, M. Herzog, and W. Gatterbauer. Using Visual Cues for Extraction of Tabular Data from Arbitrary HTML Documents. In Proc. of the 14th Int. World Wide Web Conf., pages 1000--1001, 2005. Google Scholar
Digital Library
- J. Liang, I. Phillips, R. Haralick. An Optimization Methodology for Document Structure Extraction on Latin Character Documents. In IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 23, No. 7, pages 719--734, 2001. Google ScholarDigital Library
- G. Nagy and S. Seth. Hierarchical representation of optically scanned documents. In Proc. of the 7th Int. Conf. on Pattern Recognition, pages 347--349, 1984.Google Scholar
Index Terms
- Visually guided bottom-up table detection and segmentation in web documents
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