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Word image based latent semantic indexing for conceptual querying in document image databases
Curitiba, Parana, Brazil September 23-September 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.269Ninth International Conference on Doc ...
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Sameek Banerjee, IIT Delhi, New Delhi, India
Gaurav Harit, IIT Delhi, New Delhi, India
Santanu Chaudhury, IIT Delhi, New Delhi, India
In this paper we present an application of latent semantic analysis (LSA) for indexing and retrieval of document images with text. The query is specified as a set of word images and the documents which best match with the query representation in the the latent semantic space are retrieved. We show through extensive experiments on a large database that use of LSA for document images provides improvements in retrieval precision as is the case with electronic text documents.
Citation:
Sameek Banerjee, Gaurav Harit, Santanu Chaudhury, "Word image based latent semantic indexing for conceptual querying in document image databases," icdar, vol. 2, pp.1208-1212, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007
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