Knowledge-based system for structured document recognition

Proceedings MVA'90 IAPR workshop on machine vision applications, Tokyo, nov.1990SIGLEAvailable at INIST (FR), Document Supply Service, under shelf-number : RP 10585 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc

Knowledge-Based System for Structured Document Recognition

This paper discribes a document analysis system broadly consisting of a knowledge base, a blackboard and a set of tasks having their own set of spacialists for segmentation, recognition and for inheritance. The knowledge base contains a generic hierarchical description of the document structure in terms of layout objects labeled logically. This allows the generation of hypothetic networks of linked objects in the blackboard. The specialists cooperate indirectly through the blackboard by updating the layout object descriptors. A blackboard modification causes an "event" to propagate up to some specific tasks. A task could then choose another subset of specialists to carry on with the process. Finally, a synthesized blackboard summary allows a task selector to focus efficiently on the most useful layout object to process