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http://dx.doi.org/10.6109/jkiice.2018.22.1.40

A License Plate Recognition Algorithm using Multi-Stage Neural Network for Automobile Black-Box Image  

Kim, Jin-young (Department of Electronic and Electrical Engineering, Hongik University)
Heo, Seo-weon (Department of Electronic and Electrical Engineering, Hongik University)
Lim, Jong-tae (Department of Electronic and Electrical Engineering, Hongik University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.1, 2018 , pp. 40-48 More about this Journal
Abstract
This paper proposes a license-plate recognition algorithm for automobile black-box image which is obtained from the camera moving with the automobile. The algorithm intends to increase the overall recognition-rate of the license-plate by increasing the Korean character recognition-rate using multi-stage neural network for automobile black-box image where there are many movements of the camera and variations of light intensity. The proposed algorithm separately recognizes the vowel and consonant of Korean characters of automobile license-plate. First, the first-stage neural network recognizes the vowels, and the recognized vowels are classified as vertical-vowels('ㅏ','ㅓ') and horizontal-vowels('ㅗ','ㅜ'). Then the consonant is classified by the second-stage neural networks for each vowel group. The simulation for automobile license-plate recognition is performed for the image obtained by a real black-box system, and the simulation results show the proposed algorithm provides the higher recognition-rate than the existing algorithms using a neural network.
Keywords
License-Plate Recognition; Black-Box Image; Korean Character Recognition; Multi-Stage Neural Network;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 N. W. Kim and C. W. Hur, "Study on Performance Evaluation of Automatic license plate recognition program using Emgu CV," Journal of the Korea Institute of Information and Communication Engineering, vol. 20, no. 6, pp. 1209-1214, June 2016.   DOI
2 M. Y. Jin, J. B. Park, D. S. Lee and D. S. Park, "Real-Time Vehicle License Plate Recognition System Using Adaptive Heuristic Segmentation Algorithm," Korean Information Processing Society transactions on software and data engineering , vol. 3, no. 9, pp. 361-368, September 2014.
3 S. H. Park and S. W. Cho, "A Vehicle License Plate Recognition Using the Feature Vectors based on Mesh and Thinning," Journal of Korean Institute of Intelligent Systems, vol. 21, no. 6, pp. 705-711, December 2011.   DOI
4 D. H. Park, J. G. Seo, J. H. Kim, S. S. Jin, J. H. Lee, T. S. Yun, H. Lee, B. Xu and Y. W. Lim, "A Study on Environmentally Adaptive Real-Time Lane Recognition Using Car Black Box Video Images," Proceedings of the Korean Society of Computer and Information Conference, vol. 23, no. 2, pp. 187-190, July 2015.
5 S. J. Han, H. I. Chung and H. S. Hahn, "Vehicle Detection Scheme Based on the Symmetry of Horizontal and Vertical Edge Features," Proceedings of the Korean Institute of Electrical Engineers Conference, pp. 1851-1852, July 2009.
6 D. H. Kim, H. Y. Jung, H. Cho and E. Y. Cha, "An Effective Binarization Method for Character Image," The Journal of the Korea Institute of Maritime Information & Communication Sciences, vol. 10, no. 10, pp. 1877-1884, June 2006.
7 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.
8 Y. M. Bae and S. K. Kim "Analysis of Improve on Korea License Plates Design," Proceedings of the Korea Society of Design Science Conference, pp. 56-57, October 2007.
9 M. S. Kim and Y. H. Kong "A Study on the Effective Feature Extracting for a Plate Recognition," Journal of Advanced Information Technology and Convergence, vol. 5, no. 2, pp. 128-136, June 2007.
10 M. S. Yang, H. S. Choi, Y. S. Kim, G. H. Kim and O. B. Jang "Grapheme Segmentation of Handwritten Korean Character by Structural Pattern," Journal of Korean Institute of Information Scientists and Engineers, vol. 21, no. 2, pp. 419-422, October 1994.
11 H. N. Oh and E. G. R, "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
12 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)," Review of Korea Institute of Information Security and Cryptology, vol. 25, no. 5, pp. 53-59, October 2015.
13 S. G. Jin, "The Next Generation ITS based on IOT," Proceedings of The 2016 Korea Institute of Intelligent Transport Systems Conference, pp.334-335, April 2016.