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Proceedings Paper

Combining approaches to on-line handwriting information retrieval
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Paper Abstract

In this work, we propose to combine two quite different approaches for retrieving handwritten documents. Our hypothesis is that different retrieval algorithms should retrieve different sets of documents for the same query. Therefore, significant improvements in retrieval performances can be expected. The first approach is based on information retrieval techniques carried out on the noisy texts obtained through handwriting recognition, while the second approach is recognition-free using a word spotting algorithm. Results shows that for texts having a word error rate (WER) lower than 23%, the performances obtained with the combined system are close to the performances obtained on clean digital texts. In addition, for poorly recognized texts (WER > 52%), an improvement of nearly 17% can be observed with respect to the best available baseline method.

Paper Details

Date Published: 18 January 2010
PDF: 8 pages
Proc. SPIE 7534, Document Recognition and Retrieval XVII, 753403 (18 January 2010); doi: 10.1117/12.838769
Show Author Affiliations
Sebastián Peña Saldarriaga, LINA, CNRS, Univ. de Nantes (France)
Christian Viard-Gaudin, IRCCyN, CNRS, École Polytechnique de l'Univ. de Nantes (France)
Emmanuel Morin, LINA, CNRS, Univ. de Nantes (France)

Published in SPIE Proceedings Vol. 7534:
Document Recognition and Retrieval XVII
Laurence Likforman-Sulem; Gady Agam, Editor(s)

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