Development of automatic number plate recognition system using neural network

Alias, Nur Zahirah (2022) Development of automatic number plate recognition system using neural network. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Automatic Number Plate Recognition (ANPR) system will read the image of a vehicles as input image then extracting the number plate as text. The main purpose of this system is to design and develop an efficient and systematic automatic vehicle identification system, which will use vehicle registration number plate as the parameter. The system will read the vehicle registration number plates as input and then it will automatically recognize the number plate’s character as an output. This system is widely implemented in various sectors in the world, for example, in car parking management, traffic management, tolling and also Intelligent Transport System (ITS). Other than that, The Automatic Number Plate Recognition system is also being implemented as a security measure at the entrance of highly restricted areas, such as military zones or the top government offices. The developed Automatic Number Plate Recognition system identifies the incoming vehicle and then captures the vehicle’s image. Image segmentation will be used to extract the vehicle number plate region from the captured image meanwhile for the character recognition, Optical Character Recognition (OCR) technique will be utilized. Next, the resulting data from the previous step will be compared with the entries in a database to determine the precise information. This system will be developed and simulated in the Matlab software and realworld images at the test subject. Based on the experiment, the developed system is able to identify and recognize the vehicle registration number plate successfully.

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