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http://dx.doi.org/10.15207/JKCS.2018.9.9.031

A license plate detection method based on contour extraction that adapts to environmental changes  

Pyo, Sung-Kook (Dept. of Plasma Bio Display, Kwangwoon University)
Lee, Gang-seong (Ingenium college of liberal arts, Kwangwoon University)
Park, Young-Soo (Ingenium college of liberal arts, Kwangwoon University)
Lee, Sang-Hun (Ingenium college of liberal arts, Kwangwoon University)
Publication Information
Journal of the Korea Convergence Society / v.9, no.9, 2018 , pp. 31-39 More about this Journal
Abstract
In this paper, we proposed a license plate detection method based on contour extraction that adapts to environmental changes. The proposed method extracts contour lines using DoG (Difference of Gaussian) to remove unnecessary noise parts in the contour extraction process. Binarization was applied in ugly outline images, and erosion and dilation operations were used to emphasize the contour of the character part. Then, only the outline of the ratio of the characters of the plate was extracted through the ratio of the width and height of the characters. And the case where the outline is the longest is estimated by estimating the characters of the license plate. For the experiment, we applied 130 image data to license plate on the front of the vehicle, oblique environment, and environment images with various backgrounds. I also experimented with motorcycle images of different license plate patterns. Experimental results showed that the detection rate of the oblique image was 93% and that of the various background environment was 70% in the motorcycle image but 98% in the front image.
Keywords
Difference of Gaussian(DoG); Morphology; Contour extraction; Contour detection;
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1 Gibreal-Elamin Abo-Samra. (2018). Application independent localisation of vehicle plate number using multi-window-size binarisation and semi-hybrid genetic algorithm, The Journal of Engineering, 2018(2). 104-116. DOI:10.1049/joe.2017.0815   DOI
2 Abbas M. Al-Ghaili, Syamsiah Mashohor & Abdul Rahman Ramli. (2013). Vertical-Edge-Based Car- License-Plate Detection Method, IEEE Transactions on Vehicular Technology, 62(1). 26-38. DOI: 10.1109/TVT.2012.2222454   DOI
3 Yirui Wu, Palaiahnakote Shivakumara & Tong Lu, (2016). Contour Restoration of Text Components for Recognition in Video/Scene Images, IEEE Transactions on Image Processing, 25(12). 5622-5634. DOI: 10.1109/TIP.2016.2607426   DOI
4 M. Wafy & Ahmed M.M. Madbouly. (2016). Efficient method for vehicle license plate identification based on learning a morphological feature, IET Intelligent Transport Systems, 10(6). 389-395. DOI: 10.1049/iet-its.2015.0064   DOI
5 J. Yepez & S. B. Ko. (2018). Improved license plate localisation algorithm based on morphological operations, IET Intelligent Transport Systems, 12(6). 542-549. DOI: 10.1049/iet-its.2017.0224   DOI
6 L. Xuan & Z. Hong. (2017). An Improved Canny Edge Detection Algorithm, 2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS), (pp.275-278) Beijing : China
7 J.Dun, S.Zhang, X. Ye & Y. Zhang. (2015). Chinese License Plate Localization in Multi-Lane with Complex Background Based on Concomitant Colors. IEEE Intelligent Transportation Systems Magazine, 7(3), 51-61. DOI: 10.1109/MITS.2015.2412146   DOI
8 S. L. Chang, L. S. Chen & Y. C. Chung. (2004). Automatic license plate recognition. IEEE Transactions on Intelligent Transportation Systems, 5(1), 42-53. DOI: 10.1109/TITS.2004.825086   DOI
9 Amir Hossein Ashtari, Md. Jan Mordin & Mahmood Fathy. An Iranian License Plate Recognition System Based on Color Features, IEEE Transactions on Intelligent Transportation Systems, 15(4), 1690-1705. DOI: 10.1109/TITS.2014.2304515   DOI
10 P. Sahare & S. B. Dhok (2018). Multilingual Character Segmentation and Recognition Schemes for Indian Document Images. IEEE Access, 6, 10603 - 10617 DOI: 10.1109/ACCESS.2018.2795104   DOI
11 A. Dev. (2015). A Novel Approach for Car License Plate Detection Based on Vertical Edges. 2015 Fifth International Conference on Advances in Computing and Communications (ICACC). (pp.391-394). Kochi : India
12 A. Mayan, K. A. Deep & M. Kumar. (2017.). Number Plate Recognition using Template Comparison for various fonts in MATLAB, 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Chennai : India
13 Lele Xie, Tasweer Ahmad & Lianwen Jin. (2018). A New CNN-Based Method for Multi-Directional Car License Plate Detection, IEEE Transactions on Intelligent Transportation Systems, 19(2). 507-517. DOI: 10.1109/TITS.2017.2784093   DOI
14 Lu Min & Zheng Ling Xiang. (2007, Dec). Contour Detection based on Gabor filter and directional DoG filter, 2007 14th International Conference on Mechatronics and Machine Vision in Practice, (pp.185-190). Xiamen : China
15 Jing-Ming Guo & Yun-Fu Liu. (2008). License Plate Localization and Character Segmentation With Feedback Self-Learning and Hybrid Binarization Techniques, IEEE Transactions on Vehicular Technology, 57(3). 1417-1424. DOI: 10.1109/TVT.2007.909284   DOI