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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Layout based document image retrieval by means of XY tree reduction
Seoul, Korea
August 31-September 01
ISBN: 0-7695-2420-6
Simone Marinai, DSI - University of Florence, Italy
Emanuele Marino, DSI - University of Florence, Italy
Giovanni Soda, DSI - University of Florence, Italy
We analyze a system for the retrieval of document images on the basis of layout similarity. Layout objects are extracted and represented with the XY tree. Page similarity is computed with a tree-edit distance algorithm. The peculiarity of the approach is the use of tree grammars to model the variations in the tree which are due to segmentation algorithms or to structural differences between documents with similar layout. A few class-independent grammatical rules are used to modify each tree and obtain a reduced tree that is supposed to preserve the most relevant features of the page.
Citation:
Simone Marinai, Emanuele Marino, Giovanni Soda, "Layout based document image retrieval by means of XY tree reduction," icdar, pp.432-436, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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