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Automated Car License Plate Localization using Wavelet Analysis

by Nadir Charniya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 2
Year of Publication: 2012
Authors: Nadir Charniya
10.5120/5669-7702

Nadir Charniya . Automated Car License Plate Localization using Wavelet Analysis. International Journal of Computer Applications. 42, 2 ( March 2012), 41-45. DOI=10.5120/5669-7702

@article{ 10.5120/5669-7702,
author = { Nadir Charniya },
title = { Automated Car License Plate Localization using Wavelet Analysis },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 2 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 41-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number2/5669-7702/ },
doi = { 10.5120/5669-7702 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:30:29.645102+05:30
%A Nadir Charniya
%T Automated Car License Plate Localization using Wavelet Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 2
%P 41-45
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Detection of vehicle license plate is vital for identifying the vehicle because the license plate has unique information for each vehicle. However, in India, vehicle license plate standards, though they exist, are rarely practiced. Large amount of variations are seen in the parameters of license plate like size of number plate, its location, background and foreground color, etc. which makes the task of number plate localization for recognition more difficult. This paper presents a Wavelet analysis based methodology for precise localization of Indian number plates.

References
  1. Zhen-Xue Chen, Cheng-Yun Liu, Fa-Liang Chang, and Guo-You Wang, Automatic license plate location and recognition based on feature salience, IEEE Transactions on Vehicular Technology, vol. 58, no. 7, pp. 3781-3785, Sept 2009.
  2. Huang Wanjie, Automatic vehicle license plate recognition system used in expressway toll collection, Proceedings of IEEE conference Computer Science and Information Technology, July 2010, pp. 159-162.
  3. X. Fan, G, Fan, and D. Liang, Joint segmentation and recognition of license plate characters, Proceedings of International Conference on Image Processing, San Antonio, 2007, pp. IV-353-356
  4. S. L. Chang, L. S. Chen, Y. C. Chung, and S. W. Chen, Automatic license plate recognition, IEEE Transactions on Intelligent Transportation Systems, vol. 5, no. 1, pp. 42-53, March 2004.
  5. C. Nieuwoudt and R. Heerden, Automatic number plate segmentation and recognition, Proceedings of Seventh Annual South African Workshop on Pattern Recognition, 1996, pp. 88-93.
  6. W. Wanniarachchi, D. Sonnadara, and M. Jayananda, License plate identification based on image processing techniques, Proceedings of Second International Conference on Industrial and Information Systems, Sri Lanka, August 2007, pp. 373-377.
  7. B. R. Pillai and A. Sukesh Kumar, A real-time system for the automatic identification of motorcycle - using artificial neural networks, Proceedings of International Conference on Computing, Communication and Networking, St. Thomas, Dec. 2008, pp. 1-6.
  8. J. Morel and S. Solemini, Variational methods in image segmentation, Progress in nonlinear differential equations and their applications Birkhauser, Bosten, 1995.
  9. T. D. Duan, D. A. Duc, and T. L. Hong Du, Combining Hough transform and contour algorithm for detecting vehicle license plates, Proceedings of International Symposium on Intelligent Multimedia, Video and Speech Processing, Hong Kong, 2004 pp. 747-750.
  10. H. Xu and Z. Ma, A practical design of Gabor filter applied to license plate character recognition, Proceedings of International Conference on Computer Science and Information Technology, 2008, pp. 398-401.
  11. M. T. Qudri and M. Asif, Automatic number plate recognition system for vehicle identification using optical character recognition, Proceedings of International Conference on Education Technology and Computers, 2009, pp. 335-338.
  12. Y. P. Huang, S. Y. Lai, and W. P Chuang, A template-based model for license plate recognition, Proceedings of IEEE International Conference on Networking, Sensing and Control, Taiwan, 2004, vol. 2, pp 737-742.
  13. MATLAB Image Processing Toolbox User's Guide, The MathWorks, Inc. , Natick, MA, 2002.
  14. MATLAB Image Acquisition Toolbox User's Guide, The MathWorks, Inc. , Natick, MA, 2002.
  15. M. Misiti, Y. Misiti, G. Oppenheim, J. Poggi, Wavelet Toolbox user's guide for use with MATLAB, The MathWorks, Inc. , Natick, MA, 2002.
Index Terms

Computer Science
Information Sciences

Keywords

License Plate Isolation Image Processing Wavelet Transforms System Automation

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