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Communication Dans Un Congrès Année : 2010

Combining Approaches to On-line Handwriting Information Retrieval

Résumé

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.
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Dates et versions

hal-00466898 , version 1 (25-03-2010)

Identifiants

Citer

Sebastián Peña Saldarriaga, Christian Viard-Gaudin, Emmanuel Morin. Combining Approaches to On-line Handwriting Information Retrieval. Electronic Imaging: Document Recognition and Retrieval XVI, Jan 2010, San José, United States. pp.753403, ⟨10.1117/12.838769⟩. ⟨hal-00466898⟩
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