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Numerical Sequence Extraction in Handwritten Incoming Mail Documents
Edinburgh, Scotland August 03-August 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227691Seventh International Conference on D ...
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G. Koch, Universit? de Rouen, France
L. Heutte, Universit? de Rouen, France
T. Paquet, Universit? de Rouen, France
In this communication, we propose a method for the automatic extraction of numerical fields in handwritten documents. The approach exploits the known syntactic structure of the numerical field to extract, combined with a set of contextual morphological features to find the best label to each connected component. Applying an HMM based syntactic analyzer on the overall document allows to localize/extract fields of interest. Reported results on the extraction of zip codes, phone numbers and customer codes from handwritten incoming mail documents demonstrate the interest of the proposed approach.
Citation:
G. Koch, L. Heutte, T. Paquet, "Numerical Sequence Extraction in Handwritten Incoming Mail Documents," icdar, vol. 1, pp.369, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003
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