An Automatic System of Vehicle Number-Plate Recognition Based on Neural Networks

查看全文 作　　者：Wei Wu Dept. of Road and Traffic Engineering, Changsha Communications University, 410076, P. R. China Huang Xinhan, Wang Min & Song Yexin Dept. of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》索引2001年第12卷第2期,共10页

基　　金：the Key Development Plan Project of Science and Technology (No.991p0111). 摘　　要：This paper presents an automatic system of vehicle number-plate recognition based on neural networks. In this system, location of number-plate and recognition of characters in number-plate can be automatically completed. Pixel colors of Number-plate area are classified using neural network, then color features are extracted by analyzing scanning lines of the cross-section of number-plate. It takes full use of number-plate color features to locate numberplate. Characters in number-plate can be effectively recognized using the neural networks. Experimental results show that the correct rate of number.plate location is close to 100%, and the time of number-plate location is less than 1 second. Moreover, recognition rate of characters is improved due to the known number-plate type. It is also observed that this system is not sensitive to variations of weather, illumination and vehicle speed. In addition, and also the size of number-plate need not to be known in prior. This system is of crucial significance to apply and spread the automatic system of vehicle number-plate recognition. 关键词：Automatic system of number-plate recognition,Neural network,Color feature,Number-plate locating,Character recognizing.

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An Automatic System of Vehicle Number-Plate Recognition Based on Neural Networks

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