Automatic extraction of numerical sequences in handwritten incoming mail documents
In this paper, 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 for each connected component. Applying a Markov model 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.
numerical sequences handwritten document document analysis image processing knowledge extraction