  The automated analysis of administrative documents is an important field in
document recognition that is studied for decades. Invoices are key documents
among these huge amounts of documents available in companies and public
services. Invoices contain most of the time data that are presented in tables
that should be clearly identified to extract suitable information. In this
paper, we propose an approach that combines an image processing based
estimation of the shape of the tables with a graph-based representation of the
document, which is used to identify complex tables precisely. We propose an
experimental evaluation using a real case application.
