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
收藏
页码：220 / 225
页数：6
相关论文
共 50 条
  • [41] License plate number tracking; traceability without the Gettysburg Address
    Robertson, JA
    41ST MECHANICAL WORKING AND STEEL PROCESSING CONFERENCE PROCEEDINGS, VOL 37, 1999, 37 : 19 - 22
  • [42] License plate detection for multi-national vehicles - a generalized approach
    Asif, Muhammad Rizwan
    Qi, Chun
    Wang, Tiexiang
    Fareed, Muhammad Sadiq
    Khan, Subhan
    MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (24) : 35585 - 35606
  • [43] Multi-Style License Plate Recognition System using K-Nearest Neighbors
    Park, Soungsill
    Yoon, Hyoseok
    Park, Seho
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2019, 13 (05): : 2509 - 2528
  • [44] Small tricks to enhance the accuracy of license plate character recognition
    Enyedi, Balazs
    Konyha, Lajos
    Fazekas, Kalman
    Turan, Jan
    SIGMAP 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS, 2007, : 125 - +
  • [45] Fast and Adaptive License Plate Recognition Algorithm for Persian Plates
    Baharlou, Sina Moayed
    Hemayat, Saeed
    Saberkari, Alireza
    Yaghoobi, Saber
    2015 2ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION AND IMAGE ANALYSIS (IPRIA), 2015,
  • [46] LPLA: The Adversarial Attack Against License Plate Recognition Systems
    Zhang, Kejia
    Qin, Yingxin
    Pan, Haiwei
    WEB AND BIG DATA, APWEB-WAIM 2024, PT I, 2024, 14961 : 407 - 421
  • [47] Vehicle License Plate Detection and Recognition Using Symbol Analysis
    Cika, Petr
    Zukal, Martin
    Sebela, Miroslav
    2011 34TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2011, : 589 - 592
  • [48] Research on License Plate Image Segmentation and Intelligent Character Recognition
    Huang, Jianping
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2020, 34 (06)
  • [49] License Plate Detection on Autonomous Surveillance System
    Tsai, Yao-Hong
    Kao, Kung-Chun
    2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL IV, 2010, : 379 - 382
  • [50] A Novel Edge Based Detection and PANDA Framework Approach for Indian License Plate Character Recognition
    Vishwanath, N.
    Somasundaram, S.
    Ariharan, M.
    Nallaperumal, Krishnan
    2012 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC), 2012, : 730 - 734
12345