An adaptive system for automatic invoice-documents classification

The large amount of documents to be daily managed in modern offices requires development of automatic document classification tools aiming at (semi)automatically classifying the office documents into semantically similar classes. This paper presents an automatic invoice-documents classification system based on the analysis of the graphical information present in the document and able to perform both closed (the number of classes is fixed) and open world (the number of classes increases during operational life) classification. Invoice-documents of real companies prove that the classification system achieves a 99% correct classification in closed world and 79% in the open world case.