Number Plate Recognition System

By Farah Hanani Mohammed Khasasi, Muayad Ali Hamood Bakhtan, Munaisyah Abdullah

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.

• Format: Paperback
• Language: English
• ISBN: 613399357X
• ISBN13: 9786133993570
• Release Date: October 2019
• Publisher: LAP Lambert Academic Publishing
• Length: 196 Pages
• Weight: 0.65 lbs.
• Dimensions: 0.5" x 6.0" x 9.0"