Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1 Use of a Confusion Network to Detect and Correct Errors in an On-Line Handwritten Sentence Recognition System Curitiba, Parana, Brazil September 23-September 26 ISBN: 0-7695-2822-8
In this paper we investigate the integration of a confusion network into an on-line handwritten sentence recognition system. The word posterior probabilities from the confusion network are used as confidence scored to detect potential errors in the output sentence from the Maximum A Posteriori decoding on a word graph. Dedicated classifiers (here, SVMs) are then trained to correct these errors and combine the word posterior probabilities with other sources of knowledge. A rejection phase is also introduced in the detection process. Experiments on handwritten sentences show a 28.5 % relative reduction of the word error rate.
Citation:
Solen Quiniou, Eric Anquetil, "Use of a Confusion Network to Detect and Correct Errors in an On-Line Handwritten Sentence Recognition System," icdar, vol. 1, pp.382-386, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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