DocumentCode
457374
Title
A two-stage outlier rejection strategy for numerical field extraction in handwritten documents
Author
Chatelain, Clément ; Heutte, Laurent ; Paquet, Thierry
Author_Institution
Lab. LITIS, Saint Etienne Du Rouvray
Volume
3
fYear
0
fDate
0-0 0
Firstpage
224
Lastpage
227
Abstract
In this article, we propose a segmentation-driven recognition system which aims at extracting numerical fields from handwritten documents. We show that a crucial point of the system is the rejection ability of the handwritten numeral classifier. Therefore, we propose a simple two-stage outlier rejection strategy, and we show the benefit of this strategy on the numerical field extraction results
Keywords
document image processing; feature extraction; handwritten character recognition; image classification; image segmentation; handwritten document; handwritten numeral classifier; numerical field extraction; segmentation-driven recognition; two-stage outlier rejection; Data mining; Databases; Filters; Handwriting recognition; Particle separators; Pattern recognition; Performance analysis; Postal services; System performance; Text processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.190
Filename
1699507
Link To Document