Browse > Article
http://dx.doi.org/10.6109/jkiice.2018.22.4.747

A License-Plate Image Binarization Algorithm Based on Least Squares Method for License-Plate Recognition of Automobile Black-Box Image  

Kim, Jin-young (School of Electronic and Electrical Engineering, Hongik University)
Lim, Jongtae (School of Electronic and Electrical Engineering, Hongik University)
Heo, Seo Weon (School of Electronic and Electrical Engineering, Hongik University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.5, 2018 , pp. 747-753 More about this Journal
Abstract
In the license-plate recognition systems for automobile black Image, the license-plate image frequently has a shadow due to outdoor environments which are frequently changing. Such a shadow makes unpredictable errors in the segmentation process of individual characters and numbers of the license plate image, and reduces the overall recognition rate. In this paper, to improve the recognition rate in these circumstance, a license-plate image binarization algorithm is proposed removing the shadow effectively. The propose algorithm splits the license-plate image into the regions with the shadow and without. To find out the boundary of two regions, the algorithm estimates the curve for shadow boundary using the least-squares method. The simulation is performed for the license-plate image having its shadow, and the results show much higher recognition rate than the previous algorithm.
Keywords
License-Plate Recognition; Black-Box Image; Binarization; Least Square Method;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 S. M. Park and J. Kwak, "The current state of domestic and foreign countries and major security standardization trend of Cooperative Intelligent Transport Systems(C-ITS)," Journal of the Korea Institute of Information Security and Cryptology, vol. 25, no. 5, pp. 53-59, October 2015.
2 S. G. Jin, "The Next Generation ITS based on IOT," Proceeding of the 2016 Korea Institute of Intelligent Transport Systems Conference, pp.334-335, April 2016.
3 H. N. Oh and E. G. Rhee, "Enhancement of Car License Plate Recognition Rate and Security with Rotation Algorithm," Journal of Security Engineering, vol.13, no.2, pp. 83-90, April 2016.   DOI
4 J. Y. Kim, S. W. Heo and J. Lim, "A License Plate Recognition Algorithm using Multi-Stage Neural Network for Automobile Black-Box Image," Journal of the Korea Institute of Information and Communication Engineering, vol. 22, no. 1, January 2018.
5 K. I. Kim, "Binary Connected-component Labelling with Block-based Labels and a Pixel-based Scan Mask," Journal of the Institute of Electronics Engineers of Korea, vol. 50, no. 5, pp. 287-294, May 2013.
6 S. H. Park and S. W. Cho, "A Vehicle License Plate Recognition Using the Haar-like Feature and CLNF Algorithm," Smart Media Journal, vol. 5, no. 1, pp. 15-23, March 2016.
7 N. Otsu, "A Threshold Selection Method from Gray-Level Histograms," IEEE Journals & Magazines, vol. 9, no. 1, pp. 62-66, January 1979.
8 J. H. Kim and G. B. Kim, "A Binarization Technique using Histogram Matching for License Plate with a Shadow," Journal of Broadcast Engineering, vol. 19, no. 1, pp. 56-63, January 2014.   DOI
9 B. H. Seo, B. M. Kim, C. B. Moon and Y. S. Shin, "Binarization of Number Plate Image with a Shadow," Journal of the Korea Industrial Information Systems Society, vol. 13, no. 4, pp. 1-13, December 2008.