TY  - CONF
AU  - Marçal Rusiñol
AU  - T.Benkhelfallah
AU  - V. Poulain d'Andecy
A2  - ICDAR
PY  - 2013//
TI  - Field Extraction from Administrative Documents by Incremental Structural Templates
BT  - 12th International Conference on Document Analysis and Recognition
SP  - 1100
EP  - 1104
N2  - In this paper we present an incremental framework aimed at extracting field information from administrative document images in the context of a Digital Mail-room scenario. Given a single training sample in which the user has marked which fields have to be extracted from a particular document class, a document model representing structural relationships among words is built. This model is incrementally refined as the system processes more and more documents from the same class. A reformulation of the tf-idf statistic scheme allows to adjust the importance weights of the structural relationships among words. We report in the experimental section our results obtained with a large dataset of real invoices.
SN  - 1520-5363
L1  - http://refbase.cvc.uab.es/files/RBP2013.pdf
UR  - http://dx.doi.org/10.1109/ICDAR.2013.223
N1  - DAG; 600.56; 600.045; 605.203; 602.101
ID  - Marçal Rusiñol2013
ER  -