Automatic Jordanian License Plate Recognition System Using Multistage Detection

被引：0
|
作者：
Mustafa, Haneen Alhaj [1 ]
Hassanin, Sara [1 ]
al-Yaman, Musa [1 ]
机构：
[1] Univ Jordan, Amman, Jordan
来源：
2018 15TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS AND DEVICES (SSD) | 2018年
关键词：
License Plate; Canny Edges; Neural Network; Back Propagation; Morphological operation;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
License Plate Recognition (LPR) system is a key to many traffic related applications such as road traffic monitoring or parking lots access control. This paper proposes an automatic license plate recognition system for Jordanian license plates. The system presents an algorithm for the detection of license plate and segmentation of characters, and then recognition is done using back propagation neural network. The main contribution of this work is the improvement of the license plate detection subsystem, which in turn improves the whole LPR system. The performance of the proposed system has been investigated on real images of 240 vehicles captured under various illumination conditions. The results show a robust algorithm with average success rate of 90% for Jordanian license plates.
引用
收藏
页码：1228 / 1233
页数：6
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