Combining approaches to on-line handwriting information retrieval

Sebastián Peña Saldarriaga; Christian Viard-Gaudin; Emmanuel Morin

doi:10.1117/12.838769

18 January 2010 Combining approaches to on-line handwriting information retrieval

Sebastián Peña Saldarriaga, Christian Viard-Gaudin, Emmanuel Morin

Proceedings Volume 7534, Document Recognition and Retrieval XVII; 753403 (2010) https://doi.org/10.1117/12.838769
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

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.

Citation Download Citation

Sebastián Peña Saldarriaga, Christian Viard-Gaudin, and Emmanuel Morin "Combining approaches to on-line handwriting information retrieval", Proc. SPIE 7534, Document Recognition and Retrieval XVII, 753403 (18 January 2010); https://doi.org/10.1117/12.838769

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