Browse > Article
http://dx.doi.org/10.7471/ikeee.2019.23.2.642

License Plate Detection and Recognition Algorithm using Deep Learning  

Kim, Jung-Hwan (Dept. of Electronic Engineering, Hanyang University)
Lim, Joonhong (Dept. of Electronic Engineering, Hanyang University)
Publication Information
Journal of IKEEE / v.23, no.2, 2019 , pp. 642-651 More about this Journal
Abstract
One of the most important research topics on intelligent transportation systems in recent years is detecting and recognizing a license plate. The license plate has a unique identification data on vehicle information. The existing vehicle traffic control system is based on a stop and uses a loop coil as a method of vehicle entrance/exit recognition. The method has the disadvantage of causing traffic jams and rising maintenance costs. We propose to exploit differential image of camera background instead of loop coil as an entrance/exit recognition method of vehicles. After entrance/exit recognition, we detect the candidate images of license plate using the morphological characteristics. The license plate can finally be detected using SVM(Support Vector Machine). Letter and numbers of the detected license plate are recognized using CNN(Convolutional Neural Network). The experimental results show that the proposed algorithm has a higher recognition rate than the existing license plate recognition algorithm.
Keywords
License Plate; SVM; Machine Learning; Deep Learning; Intelligent Transportation System;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Yun Yang, Donghai Li, Zongtao Duan, "Chinese vehicle license plate recognition using kernel-based extreme learning machine with deep convolutional features," IET Intelligent Transport Systems, vol.12, no.3, pp.213-219, 2018. DOI: 10.1049/iet-its.2017.0136   DOI
2 Yunju Jeong, Israfil Ansari, Jaechang Shim, Jeonghwan Lee, "A Car Plate Area Detection System Using Deep Convolution Neural Network," Jurnal of Korea Multimedia Society, vol.20, no.8, pp.1166-1174, 2017.
3 Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning-Adaptive Computation and Machine Learning, MIT Press, 2016.
4 Rahul R. Palekar, Sushant U. Parab, Dhrumil P. Parikh, Vijaya N. Kamble, "Real time license plate detection using openCV and tesseract," 2017 International Conference on Communication and Signal Processing, pp.2111-2115, 2017. DOI: 10.1109/ICCSP.2017.8286778
5 Kuan Zheng, Yuanxing Zhao, Jing Gu, Qingmao Hu, "License plate detection using Haar-like features and histogram of oriented gradients," 2012 IEEE International Symposium on Industrial Electronics, pp.1502-1505, 2012. DOI: 10.1109/ISIE.2012.6237313
6 Jingjing Zhang, Yuanyuan Li, Teng Li, Lina Xun, Caifeng Shan, "License Plate Localization in Unconstrained Scenes Using a Two-Stage CNN-RNN," IEEE Sensors Journal, vol.19, no.13, pp.5256-5265, 2019. DOI: 10.1109/JSEN.2019.2900257   DOI
7 SeungHyun Park, Seongwon Cho, "A Car Plate Area Detection System Using Deep Convolution Neural Network," Smart Media Journal, vol.5, no.1, pp.15-23, 2016. DOI: 10.9717/kmms.2017.20.8.1166
8 S. Sheik Mohammed Ali, Boby George, Lelitha Vanajakshi, "An Efficient Multiple-Loop Sensor Configuration Applicable for Undisciplined Traffic," IEEE Transactions on Intelligent Transportation Systems, vol.14, no.3, pp.1151-1161, 2013. DOI: 10.1109/TITS.2013.2255038   DOI
9 Jung-Hwan Kim, Sun-Kyu Kim, Sanghyuk Lee, Tae-Min Lee, Joonhong Lim, "License plate detection and recognition algorithm for vehicle black box," 2017 International Automatic Control Conference, 2017. DOI: 10.1109/CACS.2017.8284273
10 Zied Selmi, Mohamed Ben Halima, Adel M. Alimi, "Deep Learning System for Automatic License Plate Detection and Recognition," 14th IAPR International Conference on Document Analysis and Recognition, pp.2379-2140, 2017. DOI: 10.1109/ICDAR.2017.187
11 Byeong-jun Kim, Dong-hoon Kim, Joonwhoan Lee, "An Improved License Plate Recognition Technique in Outdoor Imaeg," Jurnal of Korea Multimedia Society, vol.26, no.5, pp.423-431, 2016. DOI: 10.5391/JKIIS.2016.26.5.423