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Segmentation-Driven Recognition Applied to Numerical Field Extraction from Handwritten Incoming Mail Documents

Clément ChatelainContact Information, Laurent Heutte1 and Thierry Paquet1

(1)  Laboratoire PSI, CNRS FRE 2645, Université de Rouen, 76800 Saint Etienne du Rouvray, France
Abstract
In this paper, we present a method for the automatic extraction of numerical fields (ZIP codes, phone numbers, etc.) from incoming mail documents. The approach is based on a segmentation-driven recognition that aims at locating isolated and touching digits among the textual information. A syntactical analysis is then performed on each line of text in order to filter the sequences that respect a particular syntax (number of digits, presence of separators) known by the system. We evaluate the performance of our system by means of the recall precision trade-off on a real incoming mail document database.

Contact Information Clément Chatelain
Email: clement.chatelain@univ-rouen.fr
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