This paper proposes an entity recognition approach in scanned documents referring to their
description in database records. First, using the database record values, the corresponding …

This paper proposes an entity recognition system in image documents recognized by OCR.
The system is based on a graph matching technique and is guided by a database describing …

This paper proposes an entity local structure comparison approach based on inexact
subgraph matching. The comparison results are used for mislabeling correction in the local …

We propose an integrated approach to page classification and logical labelling. Layout is
represented by a fully connected attributed relational graph that is matched to the graph of …

A morphological tagging approach for document image invoice analysis is described.
Tokens close by their morphology and confirmed in their location within different similar …

Logical entity recognition in heterogeneous collections of document page images remains a
challenging problem since the performance of traditional supervised methods de-grades …

This paper describes a method for extracting relevant tokens of entity from semi-structured
administrative documents. This method is used for mislabeling correction by employing the …

This paper studies the problem of document image classification. More specifically, we
address the classification of documents composed of few textual information and complex …

Class syntax can be used to 1) model temporal or locational evolvement of class labels of
feature observation sequences, 2) correct classification errors of static classifiers if feature …

Proposes an approach for automatically generating a decision tree which is applied as a
model for the logical labeling of business letters. Instead of top-down determination of the …