Number Plate Recognition System - Bakhtan, Muayad Ali Hamood;Abdullah, Munaisyah;Mohammed Khasasi, Farah Hanani
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In this research, 150 samples are collected specifically for standard and non-standard Malaysian plates containing single row and double rows plates and based on specific effecting factors. Based on experimental results, the accuracy of license plate localization process is 97.4%, while the accuracy of the segmentation process and character recognition process are 96% and 76% respectively. The overall success rate of the proposed system reached 71% outperforming many of the existing techniques. Results also show that several environmental factors have significant impacts on the performance of plate recognition system.…mehr

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Produktbeschreibung
In this research, 150 samples are collected specifically for standard and non-standard Malaysian plates containing single row and double rows plates and based on specific effecting factors. Based on experimental results, the accuracy of license plate localization process is 97.4%, while the accuracy of the segmentation process and character recognition process are 96% and 76% respectively. The overall success rate of the proposed system reached 71% outperforming many of the existing techniques. Results also show that several environmental factors have significant impacts on the performance of plate recognition system.
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Autorenporträt
Muayad Ali Hamood Bakhtan 1st January 1984- Master of Information, Technology University Kuala Lumpur Malaysia 2014 -2017.- Bachelor of Computer Mathematics, IBB University Yemen 2005 -2009.