Flowchart knowledge extraction on image processing

In the paper, we present an approach of image processing analysis to extract flowchart information from digital imagery. Firstly, flowchart imagery is processed to extract the text components and then extract the geometrical shapes components. We analyze text, and various geometrical shapes present in flowchart and carry out a variety of processes such as image segmentation, shape description, text and geometric components extraction, recognition and linking. The text components are extracted and then geometrical components are extracted. we also proposed a auto directional transformation of contour chain method for shape description. The internal relationship between the components is set up by tracing the flow lines which connect different components. Thus a flowchart is correctly extracted. The extracted components are output to metadata (XML format) which is machine readable. These metadata can be archived, store as knowledge base or shared with others. Finally, an example is presented and the results show that the proposed technique is efficient.