23 January 2012 Retrieving handwriting by combining word spotting and manifold ranking
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Online handwritten data, produced with Tablet PCs or digital pens, consists in a sequence of points (x, y). As the amount of data available in this form increases, algorithms for retrieval of online data are needed. Word spotting is a common approach used for the retrieval of handwriting. However, from an information retrieval (IR) perspective, word spotting is a primitive keyword based matching and retrieval strategy. We propose a framework for handwriting retrieval where an arbitrary word spotting method is used, and then a manifold ranking algorithm is applied on the initial retrieval scores. Experimental results on a database of more than 2,000 handwritten newswires show that our method can improve the performances of a state-of-the-art word spotting system by more than 10%.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sebastián Peña Saldarriaga, Sebastián Peña Saldarriaga, Emmanuel Morin, Emmanuel Morin, Christian Viard-Gaudin, Christian Viard-Gaudin, "Retrieving handwriting by combining word spotting and manifold ranking", Proc. SPIE 8297, Document Recognition and Retrieval XIX, 82970X (23 January 2012); doi: 10.1117/12.910638; https://doi.org/10.1117/12.910638


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