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ICFHR
2010

Handwritten Mail Classification Experiments with the Rimes Database

11 years 7 days ago
Handwritten Mail Classification Experiments with the Rimes Database
In this paper, we consider the task of automatic handwritten mail classification and we investigate the relation between the transcription rate and the classification rate. Several configurations of a multi-word handwriting recognizer using different language models are tested and their word recognition rates on the documents to be classified are reported. For the document classification task, we have investigated three different classifiers (KNN, SVM, AdaBoost). All the experiments were conducted on the public database Rimes.
Christopher Kermorvant, Jérôme Lourad
Added 17 May 2011
Updated 17 May 2011
Type Journal
Year 2010
Where ICFHR
Authors Christopher Kermorvant, Jérôme Louradour
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