Video Based License Plate Recognition of Moving Vehicles Using Convolutional Neural Network

被引:0
作者
Lee, Sanghycop [1 ]
Son, Keum-Young [1 ]
Yoon, Byung-Woo [1 ]
Park, Jangsik [1 ]
机构
[1] Kyungsung Univ, Dept Elect Engn, Busan, South Korea
来源
2018 18TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS) | 2018年
关键词
License plate recognition; Convolutional Neural Network;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A built-in system was implemented with a GPU in order to recognize the license plate number without detection line. The deep-learning network to recognize the license plate number of the vehicle uses relatively simple AlexNet. Tests confirm that the vehicle license plate can be effectively recognized using CNN.
引用
收藏
页码:1634 / 1636
页数:3
相关论文
共 10 条
[1]  
[Anonymous], IEEE INT C PATT REC
[2]  
[Anonymous], J PHYS C SERIES
[3]  
[Anonymous], P 10 INT C BISTR SMA
[4]  
[Anonymous], 2016, ARXIV160105610
[5]   Two-frame motion estimation based on polynomial expansion [J].
Farnebäck, G .
IMAGE ANALYSIS, PROCEEDINGS, 2003, 2749 :363-370
[6]  
Kim E., 2016, Introduction of Artificial Intelligence, Machine Learning, and Deep Learning, Data
[7]   ImageNet Classification with Deep Convolutional Neural Networks [J].
Krizhevsky, Alex ;
Sutskever, Ilya ;
Hinton, Geoffrey E. .
COMMUNICATIONS OF THE ACM, 2017, 60 (06) :84-90
[8]  
Kwangyong Lim, 2016, Journal of KIISE, V43, P186, DOI 10.5626/JOK.2016.43.2.186
[9]  
Xiaohong Long, 2013, International Journal of Digital Content Technology and its Applications, V7, P477, DOI 10.4156/jdcta.vol7.issue1.55
[10]  
윤종호, 2016, [Journal of Korea Academia-Industrial cooperation Society, 한국산학기술학회논문지], V17, P1, DOI 10.5762/KAIS.2016.17.3.1