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
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;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.190
