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- W562597307 abstract "Automatic toll collection system is a major issue in toll systems. It can reduce traffic congestion with intelligent methods, improve air pollution and increase safety. An automatic toll collection system is developed in this study that combines the capabilities of image processes and artificial neural network (ANN) models. This system is specially designed to recognize the numbers and alphabets on the license plates. It may also collect relevant traffic information for toll purposes and may undertake subsequent analysis. The contents of this study are divided into two parts, image preprocessing and recognition. The authors developed the Pixel Division Algorithm for image preprocessing as well as for character segmentation. The backpropagation ANN model with one hidden layer is employed and the experiments show that the proposed model can perform satisfactorily. The results imply that automatic toll collection on freeways is technically feasible." @default.
- W562597307 created "2016-06-24" @default.
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- W562597307 date "1995-01-01" @default.
- W562597307 modified "2023-09-27" @default.
- W562597307 title "Automatic toll collection with artificial neural networks" @default.
- W562597307 hasPublicationYear "1995" @default.
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