Retrieving handwriting by combining word spotting and manifold ranking

Sebastián Peña Saldarriaga; Emmanuel Morin; Christian Viard-Gaudin

doi:10.1117/12.910638

23 January 2012 Retrieving handwriting by combining word spotting and manifold ranking

Sebastián Peña Saldarriaga, Emmanuel Morin, Christian Viard-Gaudin

Proceedings Volume 8297, Document Recognition and Retrieval XIX; 82970X (2012) https://doi.org/10.1117/12.910638
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

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%.

Citation Download Citation

Sebastián Peña Saldarriaga, Emmanuel Morin, and Christian Viard-Gaudin "Retrieving handwriting by combining word spotting and manifold ranking", Proc. SPIE 8297, Document Recognition and Retrieval XIX, 82970X (23 January 2012); https://doi.org/10.1117/12.910638

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