Document Image Analysis by Probabilistic Network and Circuit Diagram Extraction
András Barta, István Vajk · 2005
The paper presents a hierarchical object recognition system for document processing. It is based on a spatial tree structure representation and Bayesian framework. The image components are built up from lower level image components stored in a library. The tree representations of the objects are assembled from these components. A probabilistic framework is used in order to get robust behaviour. The method is able to convert general circuit diagrams to their components and store them in a hierarchical datastructure. The paper presents simulation for extracting the components of sample circuit diagrams.