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Book Chapter
Segmentation-Driven Recognition Applied to Numerical Field Extraction from Handwritten Incoming Mail Documents
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 3872/2006
Book
Document Analysis Systems VII
DOI
10.1007/11669487
Copyright
2006
ISBN
978-3-540-32140-8
Category
Posters
DOI
10.1007/11669487_50
Pages
564-575
Subject Collection
Computer Science
SpringerLink Date
Friday, January 20, 2006
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Posters
Segmentation-Driven Recognition Applied to Numerical Field Extraction from Handwritten Incoming Mail Documents
Clément Chatelain
1
, Laurent Heutte
1
and Thierry Paquet
1
(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.
Clément
Chatelain
Email:
clement.chatelain@univ-rouen.fr
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