PT Unknown
AU Marçal Rusiñol
   T.Benkhelfallah
   V. Poulain d'Andecy
TI Field Extraction from Administrative Documents by Incremental Structural Templates
BT 12th International Conference on Document Analysis and Recognition
PY 2013
BP 1100
EP 1104
DI 10.1109/ICDAR.2013.223
AB 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.
ER