Automatic System Recognition of License Plates using Neural Networks

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Kalid A.Smadi 1,* Takialddin Al Smadi 2

1. Jordanian Sudanese Colleges for Science & Technology, Khartoum, Sudan

2. Department of Communications and Electronics Engineering, College of Engineering, Jerash University, 311, Jerash-Jordan

* Corresponding author.


Received: 9 Mar. 2017 / Revised: 29 Apr. 2017 / Accepted: 6 Jun. 2017 / Published: 8 Jul. 2017

Index Terms

Automatic System, Neural Networks, Recognition, of license plates


The urgency to increase the efficiency of recognition of car number plates on images with a complex background need the development of methods, algorithms and programs to ensure high efficiency, To solve the task the author has used the methods of the artificial Intelligence, identification and pattern recognition in images, theory of artificial neural networks, convolution neural networks, evolutionary algorithms, mathematical modeling and models characters were then statistics by using feed forward back propagated multi layered perception neural networks.. The proposed this work is to show a system that solves the practical problem of car identification for real scenes. All steps of the process, from image acquisition to optical character recognition are considered to achieve an automatic identification of plate.

Cite This Paper

Kalid A.Smadi, Takialddin Al Smadi,"Automatic System Recognition of License Plates using Neural Networks", International Journal of Engineering and Manufacturing(IJEM), Vol.7, No.4, pp.26-35, 2017. DOI: 10.5815/ijem.2017.04.03


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