Title :
A system for recognizing a large class of engineering drawings
Author :
Yu, Yuhong ; Samal, Ashok ; Seth, Sharad C.
Author_Institution :
Legent Corp., Naperville, IL, USA
Abstract :
We present a complete system for recognizing a large class of symbolic engineering drawings that includes flowcharts, chemical plant diagrams, and logic & electrical circuits. The output of the system, a netlist identifying the symbol types and interconnections, may be used for design verification or as a compact portable representation of the drawing. The automatic recognition task is done in two stages: (1) domain-independent rules segment symbols from connection lines in the preprocessed drawing image and (2) an understanding subsystem makes use of a set of domain-specific matchers to classify symbols and correct errors automatically. A graphical user interface is provided to correct residual errors interactively. The system has been tested on a large database of printed images drawn from four different domains
Keywords :
document image processing; flowcharting; graphical user interfaces; image segmentation; automatic recognition; chemical plant diagrams; design verification; domain-independent rules segment symbols; domain-specific matchers; engineering drawings recognition; flowcharts; graphical user interface; large database; netlist; printed images; residual errors; symbolic engineering drawings; understanding subsystem; Chemical engineering; Engineering drawings; Error correction; Flowcharts; Graphical user interfaces; Image recognition; Image segmentation; Integrated circuit interconnections; Logic circuits; System testing;
Conference_Titel :
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-8186-7128-9
DOI :
10.1109/ICDAR.1995.602020
