Vehicle License Plate Registration Recognition System

Abstract:

Neural network had been used widely in many applications, such as to recognize an object or character, to detect a motion, to control a process, to forecast a result, to analyze data and for management of information. With the rapid growth of vehicles on the road and with the aid of improved technology, there is a demand for processing vehicles as conceptual resources in information systems. This paper will show how to design a system using the neural network to recognize the vehicle registration plate of vehicles. The approach to the project is by capturing footage and after which, the footage undergo segmentation to obtain the vehicle registration plate numbers using this software called MATLAB. The simulation will be illustrated after training the neural network; the system is able to recognize most of the vehicle registration plate with minimum errors.

• Periodical: Advanced Materials Research (Volumes 718-720)
• Pages: 2286-2290
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.718-720.2286
• Online since: July 2013
• Authors: Embiale Merkebu Tiruneh, De Ning Jiang
• Keywords: Neural Network (NN), Segmentation

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