Optical recognition of electrical circuit drawings

Author

Boraie, Mohamed T. ; Balghonaim, Adil S.

Author_Institution

Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia

Volume

2

fYear

1997

fDate

20-22 Aug 1997

Firstpage

843

Abstract

This paper presents an optical recognition system for electrical circuits drawing. The system uses computer vision techniques to analyze the circuit´s drawing and produces a circuit description program suitable for analysis by circuit analysis programs such as SPICE. The algorithm proposed uses a variety of machine vision techniques to locate the circuit nodes and isolate the circuit components. Moments´ invariant descriptors are then used to for the recognition of both elements and values

Keywords

SPICE; circuit analysis computing; computer vision; optical character recognition; OCR; SPICE; algorithm; circuit analysis programs; circuit components; circuit description program; circuit nodes; computer vision techniques; document analysis; electrical circuit drawings; machine vision techniques; moments invariant descriptors; optical recognition system; Algorithm design and analysis; Circuit analysis; DH-HEMTs; Engineering drawings; Equations; Image segmentation; Joining processes; Minerals; Optical character recognition software; Petroleum;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers and Signal Processing, 1997. 10 Years PACRIM 1987-1997 - Networking the Pacific Rim. 1997 IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-3905-3

Type

conf

DOI

10.1109/PACRIM.1997.620391

Filename

620391