An Approach to License Plate Recognition System Using Neural Network

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Author(s): Muhammad Sarfraz (Kuwait University, Kuwait)and Mohammed Jameel Ahmed (King Fahd University of Petroleum and Minerals, Saudi Arabia)
Copyright: 2019
Pages: 17
Source title: Exploring Critical Approaches of Evolutionary Computation
Source Author(s)/Editor(s): Muhammad Sarfraz (Kuwait University, Kuwait)
DOI: 10.4018/978-1-5225-5832-3.ch002

Keywords: Artificial Intelligence / Computer Engineering / Computer Science & IT / Information Science Reference

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Abstract

This chapter presents an approach for automatic recognition of license plates. The system basically consists of four modules: image acquisition, license plate extraction, segmentation, and recognition. It starts by capturing images of the vehicle using a digital camera. An algorithm for the extraction of license plate has been designed and an algorithm for segmentation of characters is proposed. Recognition is done using neural approach. The performance of the system has been investigated on real images of about 610 Saudi Arabian vehicles captured under various conditions. Recognition of about 90% shows that the system is efficient.

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An Approach to License Plate Recognition System Using Neural Network

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