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Proceedings Paper

PC-based car license plate reader
Author(s): Chung-Mu Hwang; Shyh-Yeong Shu; Wen-Yu Chen; Yie-Wern Chen; Kuang-Pu Wen
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Paper Abstract

A car license plate reader (CLPR) using fuzzy inference and neural network algorithm has been developed in Industrial Technology Research Institute (ITRI) and installed in highway toll stations to identify stolen cars. It takes an average of 0.7 seconds to recognize a car license plate by using a PC with 80486-50 CPU. The recognition rate of the system is about 97%. The techniques of CLPR include vehicle sensing, image grab control, optic pre- processing, lighting, and optic character recognition (OCR). The CLPR can be used in vehicle flow statistics, the checking of stolen vehicles, automatic charging systems in parking lots or garage management, and so on.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1823, Machine Vision Applications, Architectures, and Systems Integration, (1 November 1992); doi: 10.1117/12.132083
Show Author Affiliations
Chung-Mu Hwang, Industrial Technology Research Institute (Taiwan)
Shyh-Yeong Shu, Industrial Technology Research Institute (Taiwan)
Wen-Yu Chen, Industrial Technology Research Institute (Taiwan)
Yie-Wern Chen, Industrial Technology Research Institute (Taiwan)
Kuang-Pu Wen, Industrial Technology Research Institute (Taiwan)

Published in SPIE Proceedings Vol. 1823:
Machine Vision Applications, Architectures, and Systems Integration
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

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