CFP last date
20 December 2024
Reseach Article

Comparison of Edge Detection Techniques for Segmenting Car License Plates

Published on December 2011 by Sanjay B. C. Gaur, Dr. Jayashri Vajpai
International Conference on Electronics, Information and Communication Engineering
Foundation of Computer Science USA
ICEICE - Number 5
December 2011
Authors: Sanjay B. C. Gaur, Dr. Jayashri Vajpai
66efe2a6-133c-460a-a881-e4bc018155fc

Sanjay B. C. Gaur, Dr. Jayashri Vajpai . Comparison of Edge Detection Techniques for Segmenting Car License Plates. International Conference on Electronics, Information and Communication Engineering. ICEICE, 5 (December 2011), 8-12.

@article{
author = { Sanjay B. C. Gaur, Dr. Jayashri Vajpai },
title = { Comparison of Edge Detection Techniques for Segmenting Car License Plates },
journal = { International Conference on Electronics, Information and Communication Engineering },
issue_date = { December 2011 },
volume = { ICEICE },
number = { 5 },
month = { December },
year = { 2011 },
issn = 0975-8887,
pages = { 8-12 },
numpages = 5,
url = { /specialissues/iceice/number5/4281-iceice035/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronics, Information and Communication Engineering
%A Sanjay B. C. Gaur
%A Dr. Jayashri Vajpai
%T Comparison of Edge Detection Techniques for Segmenting Car License Plates
%J International Conference on Electronics, Information and Communication Engineering
%@ 0975-8887
%V ICEICE
%N 5
%P 8-12
%D 2011
%I International Journal of Computer Applications
Abstract

This paper deals with the study of different edge detection techniques for plate localization component of a Car License Plate Recognition system. The process of edge detection also involves filtering and smoothing of image. An experimental study has been carried out in this paper for comparison of the available edge detection techniques for this emerging area of application. Single frame gray-level images are used as the only source of information. In the experiment images of Indian license plates were used, which are taken with the Kodak camera 10Mpixels. The results show that the approach is robust to illumination, plate slope, scale, and is insensitive to plate’s country peculiarities. These results could be also usable for other applications in the input-output transport systems, where automatic recognition of registration plates, shields, signs, etc., is often necessary.

References
  1. O. Khalifa, S. Khan, R. Islam and A. Suleiman, “Malaysian Vehicle License Plate Recognition,” The International Arab Journal of Information Technology, Vol 4 No4, October 2007.
  2. C. N. Paunwala and S. Patnaik, “A Novel Multiple Plate Extraction Technique for Complex Background in Indian traffic Conditions,” International Journal of Image Processing, Vol.4: Issue 2, pg. 106-118.
  3. R.A. Lotufo, A.D. Morgan, and A. S. Johnson, “Automatic Number-Plate Recognition,” Proceedings of the IEE Colloquium on Image analysis for Transport Applications, V01.035, pp.6/1-6/6, February 1990.
  4. A.S. Johnson, B.M. Bird, “Number-plateMatching for Automatic Vehicle Identification,” IEE Colloquium on Electronic Image and Image Processing in Security and Forensic, April, 1990.
  5. M.M.M. Fahmy, “Automatic Number-plate Recognition: Neural Network Approach,” Proceedings of VNIS’94 Vehicle Navigation and Information System Conference, Sept, 1994.
  6. H. Yoshimura, M. Etoh, K. Kondo, N. Yokoya,”Gray-scale character recognition by Gabor jets projection,” Proceedings 15th International Conference on Pattern Recognition, IEEE Computer Soc. Part vol.2, pp.335-8 vol.2, 2000.
  7. H. Hontani, and T. Koga, “Character extraction method without prior knowledge on size and information,” Proceedings of the IEEE International Vehicle Electronics Conference (IVEC’01), pp. 67-72, 2001.
  8. S. H. Park, K. I. Kim, K. Jung, and H. J. Kim “Locating car license plates using neural network,” IEE Electronics Letters, vol.35, no. 17, pp. 1475-1477, 1999,.
  9. H. J. Kim, D. W. Kim, S.K. Kim, J.V. Lee, J.K. Lee, “Automatic Recognition of Car License Plates Using Color Image Processing,” Engineering Design & Automation, vol. 3 no. 2, pp.215-225, 1997.
  10. T Sirithinaphong, K. Chamnongthai, “The recognition of car license plate for automatic parking system,” Proceedings of the Fifth International Symposium 1999, vol.1, pp. 455 – 457, Aug. 2002.
  11. L. Zheng, Xiangjian, He Samali B., L. T. Yang, “Accuracy Enhancement for License Plate Recognition,” Computer and Information Technology (CIT), 2010, pp. 511, Sept. 2010.
  12. R. Gonzalez and R. Woods, “Digital Image Processing,” Pearson Education, 2009.
  13. N. Otsu, “A Threshold Selection Method from Gray-Level Histogram,” IEEE trans. Sys., Man and Cybernetics, vol. 9, pp 62-66, 1979.
  14. D Kaushik, H.U. Chae and K. H. Jo, “Vehicle License Plate Detection Method Based on Sliding Concentric Windows and Histogram,” Journal of Computers, vol. 4, no. 8, August 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Edges Car license plates Image processing Segmentation and Recognition