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View all- Poomagal SHamsapriya TVisalakshi P(2018)Semantic similarity-based PageRank using wordnetInternational Journal of Computer Applications in Technology10.1504/IJCAT.2013.05229246:2(101-112)Online publication date: 28-Dec-2018
Multi-page document analysis based on format consistency and clustering
Pages 306 - 315
Abstract
In multi-page documents, document elements belonging to the same component usually share format regularity. We call this regularity 'document component intrinsic format consistency' (DCIFC). We present a new document analysis method based on DCIFC, which is complementary to the traditional document analysis methods based on the visual characteristics of document elements. One key advantage of our method is that DCIFC is stable from document to document, and thus is not impacted by layout variability, which is a major challenge in document analysis. Our method uses clustering techniques to build statistical models and then applies the models to labelling document components. In this way, the method can adapt to specific documents using formal specificities of components. We apply our method to several document recognition tasks and show its superior performance.
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Geneva 15, Switzerland
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Published: 01 August 2010
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View all- Poomagal SHamsapriya TVisalakshi P(2018)Semantic similarity-based PageRank using wordnetInternational Journal of Computer Applications in Technology10.1504/IJCAT.2013.05229246:2(101-112)Online publication date: 28-Dec-2018