Automated conversion of engineering drawings to CAD form

Author

Filipski, Alan J. ; Flandrena, Robert

Author_Institution

GTX Corp., Phoenix, AZ, USA

Volume

80

Issue

7

fYear

1992

fDate

7/1/1992 12:00:00 AM

Firstpage

1195

Lastpage

1209

Abstract

The authors present a discussion of the different aspects and requirements of the CAD conversion problem and describe the general architecture and algorithms of one commercially available CAD conversion system, the GTX 5000. Scanning, vectorization, text recognition, symbol recognition, context processing, and cleanup editing subsystems of the GTX 5000 are described. Several possible alternative approaches and algorithms are also compared. EPRI (Electric Power Research Institute)-funded enhancements are discussed, including neural networks for character and symbol recognition, touching and broken character processing, and text/symbol associativity

Keywords

CAD; image scanners; neural nets; optical character recognition; CAD form; GTX 5000; broken character processing; cleanup editing; context processing; conversion problem; engineering drawings; neural networks; symbol recognition; text recognition; text/symbol associativity; touching character processing; Character recognition; Computer industry; Cost benefit analysis; Data mining; Design automation; Engineering drawings; Information retrieval; Manufacturing industries; Pattern recognition; Text recognition;

fLanguage

English

Journal_Title

Proceedings of the IEEE

Publisher

ieee

ISSN

0018-9219

Type

jour

DOI

10.1109/5.156479

Filename

156479