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2006
Springer

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

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Segmentation-Driven Recognition Applied to Numerical Field Extraction from Handwritten Incoming Mail Documents
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.
Clément Chatelain, Laurent Heutte, Thierry
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where DAS
Authors Clément Chatelain, Laurent Heutte, Thierry Paquet
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