TY - GEN
T1 - A system for recognizing a large class of engineering drawings
AU - Yu, Yuhong
AU - Samal, A.
AU - Seth, S. C.
N1 - Publisher Copyright:
© 1995 IEEE.
PY - 1995
Y1 - 1995
N2 - 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.
AB - 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.
KW - domain dependence
KW - drawing understanding
KW - flow diagrams
KW - segmentation and labeling
UR - http://www.scopus.com/inward/record.url?scp=84951836672&partnerID=8YFLogxK
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U2 - 10.1109/ICDAR.1995.602020
DO - 10.1109/ICDAR.1995.602020
M3 - Conference contribution
AN - SCOPUS:84951836672
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 791
EP - 794
BT - Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
PB - IEEE Computer Society
T2 - 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Y2 - 14 August 1995 through 16 August 1995
ER -