PC-based car license plate reader

Chung-Mu Hwang; Shyh-Yeong Shu; Wen-Yu Chen; Yie-Wern Chen; Kuang-Pu Wen

doi:10.1117/12.132083

1 November 1992 PC-based car license plate reader

Chung-Mu Hwang, Shyh-Yeong Shu, Wen-Yu Chen, Yie-Wern Chen, Kuang-Pu Wen

Proceedings Volume 1823, Machine Vision Applications, Architectures, and Systems Integration; (1992) https://doi.org/10.1117/12.132083
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

Chung-Mu Hwang, Shyh-Yeong Shu, Wen-Yu Chen, Yie-Wern Chen, and Kuang-Pu Wen "PC-based car license plate reader", Proc. SPIE 1823, Machine Vision Applications, Architectures, and Systems Integration, (1 November 1992); https://doi.org/10.1117/12.132083

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