Tracking Vehicles System Based on License Plate Recognition

被引：0

作者：

Thaiparnit, Sattarpoom ^{[1
]}

Khuadthong, Namthip ^{[2
]}

Chumuang, Narumol ^{[2
]}

Ketcham, Mahasak ^{[3
]}

机构：

[1] Rajamangala Univ Technol Suvarnabhumi, Fac Business Adm & Informat Technol, Phra Nakhon Si Ayutthaya, Thailand

[2] Muban Chombueng Rajabhat Univ, Dept Digital Media Technol, Chom Bueng, Thailand

[3] King Mongkuts Univ Technol North Bangkok, Dept Management Informat Syst, Bangkok, Thailand

来源：

2018 18TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT) | 2018年

关键词：

component; Vehicle; License Plate; k-Nearest Neighbor; k-NN; recognize; Tracking;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The license plate recognition for tracking stolen vehicles, the system will read the car license plate and compare with the database. Then, the system will send the warming immediately if such car is in the blacklist. The research and development team has developed the license plate Recognition by developing from microsoft visual studio 2015, VB.NET language and EmguCV command. We use the image processing and k-Nearest Neighbor (k-NN) algorithm to recognize numbers on the license plate. The experiment results, shows that the system is able to read the license plate in the middle of the image, at 1 meter distance with 100% accuracy from the samples of 30 images. Moreover, it is able to recognize the license plate from the tilted position at 80 degrees' angle and 100 degrees' angle for the distance more than 1 meter with 50% accuracy from the samples of 30 images.

引用

页码：220 / 225

页数：6

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