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Communication Dans Un Congrès Année : 2012

Retrieving handwriting by combining word spotting and manifold ranking

Résumé

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%.
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Dates et versions

hal-00819914 , version 1 (02-05-2013)

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Sebastián Peña Saldarriaga, Emmanuel Morin, Christian Viard-Gaudin. Retrieving handwriting by combining word spotting and manifold ranking. Document Recognition and Retrieval XIX, Jan 2012, Burlingame, California, United States. 8 p., ⟨10.1117/12.910638⟩. ⟨hal-00819914⟩
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