AUTOMATIC INPUT OF LOGIC DIAGRAMS BY RECOGNIZING LOOP-SYMBOLS AND RECTILINEAR CONNECTIONS
Soo-Hyung Kim, Jin Hyung Kim · International Journal of Pattern Recognition and Artificial Intelligence · 1994
An automatic system that reads an image of a logic diagram, digitized by a document scanner, and generates a description of the diagram in terms of logic symbols and their interconnections is proposed. The digitized image is converted into a set of line segments by way of a sequence of picture processing operations, Then symbols and connections are recognized by identifying loops and rectilinear polylines. Graphical description of a set of symbol models is provided as prior knowledge about input diagrams. Experiments show that the system can recognize more than 96% of logic symbols and connections and that an A4 size diagram (210×297 mm ) of average complexity can be processed within 10 seconds on a workstation.