Structural Classification for Retrospective Conversion of Documents

摘要

This paper describes the structural classification method used in a strategy for retrospective conversion of documents. This strategy consists in an cycle in which document analysis and document understanding interact. This cycle is initialized by the extraction of the outline of the layout and logical structures of the document. Then, each iteration of the cycle consists in the detection and the processing of inconsistencies in the document modeling. The cycle ends when no more inconsistency occurs. A structural representation is used to describe documents. This representation is detailed. Retrospective conversion consists in identifying each entity of the document and its structures as well. The structural classification method based on graph comparison is used at several levels of this process. Graph comparison is also used in the learning of generic entities.