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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 4    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 4,April 2012
Real Time Vehicle License Plate Recognition Based on 2D Haar Discrete Wavelet Transform[
Full Text(PDF, )  PP.211-216  
Author(s)
R. T. Lee, K. C. Hung, and H. S. Wang
KEYWORDS
— Haar Discrete Wavelet Transform, real time,Artificial neural Network
ABSTRACT
This thesis to present a new approach for license-plate recognition using 2D Haar Discrete Wavelet Transform (HDWT) and Artificial neural Network. This thesis consists of three main parts. The first part is to locate and extract the license-plate in an image. The second part is to train of the license-plate. The third part is to real time scan recognize of the license-plate. Traditional license plate recognition system design complexity. The paper present is a vehicle license plate after 2D Haar Discrete Wavelet Transform three transforms, select only after the third conversion coefficients of low-frequency part of the image pixels, image pixels into one-sixty fourth, thus reducing the number of scanning image pixels, increasing rapid implementation of recognition work and the memory usage. This article is to directly scan for license plate recognition, without recognition of the individual characters. This new approach is a real time recognition, experimental results of license plate recognition rates can be as high as 95.33%.
References
[1] H. Sheng, C. Li, Q. Wen, and Z. Xiong, ―Real-Time Anti-Interference Location of Vehicle License Plates Using High-Definition Video,‖ IEEE Intelligent Transportation Systems Magazine, 2009.

[2] M.-K. Wu, L.-S. Wei, H.-C. Shih, and C. C. Ho#, ―License Plate Detection Based on 2-Level 1-D Discrete Periodic Wavelet Transform and Edge Density Verification,‖ Embedded SoC Lab, Department of Electrical Engineering, National Yunlin University of Science and Technology, Douliou, Yunlin 64002, Taiwan, ROC, IEEE International Symposium on Industrial Electronics (ISlE 2009), Seoul Olympic Parktel, Seoul, Korea, July 5-8, 2009.

[3] A. Conci., J. E. R. d. Carvalho and T. W. Rauber, ―A Complete System for Vehicle Plate Localization, Segmentation and Recognition in Real Life Scene,‖ IEEE Latin America Transactions, Vol. 7, No.5, September 2009.

[4] L. Hai, and G. Shrestha, ―Real Time License Plate Recognition at the Time of Red Light Violation,‖ College of Automation, Harbin Engineering University, Harbin, China, International Conference on Computer Application and System Modeling (ICCASM 2010), 2010.

[5] P. Kulkarni, A. Khatri, P. Banga and K. Shah, ―A Feature Based Approach for Localization of Indian Number Plates,‖ Dept. of Electronics and elecommunication, Smt. Kashibai Navale College of Engineering, University of Pune, India, IEEE, 2009.

[6] Y. Song, ―A Level Set Based Method of License Plate Localization,‖ Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, IEEE IRI 2010, Las Vegas, Nevada, USA, August 4-6, IEEE, 2010.

[7] I. Daubechies, ―Orthonormal Based of Compactly SupporWavelet,‖ Communications in Pure Applied Math, vol.41, pp.909-996, 1988.

[8] K. C. Hung, Y. J. Huang, F. C. Hsieh and J. C. Wang, ―An AOCAbased VLSI architecture for non-recursive 2D discrete periodized wavelet transform,‖ Digital Signal Processing, 2002. 2002 14th International Conference on Volume 1, vol.1, pp.273–276,July 2002.

[9] C. F. Tsai, H. S. Wang, and K. C. Hung, ―A high efficient nonrecursive discrete periodized wavelet transform for extracting the transformed coefficients of coarser resolution levels,‖ The 2004 IEEE Asia-Pacific Conf. on Circuits And Systems, pp. 661-664, Dec. 2004.

[10] A. S. Lewis and G. Knowles, ―VLSI architecture for 2D Daubechies wavelet transform without multipliers,‖ Electronics Letters, vol. 27, no. 2, pp. 171-173, Jan. 1991.

[11] P. M P, M. S. A.l Majid, S. Yaacob, M. H. F. Rahiman and R. P. Krishnan, ―Statistical Time Energy Based Damage Detection in Steel Plates Using Artificial neural Networks,‖ School of Mechatronics Engineering, University Malaysia Perlis, Perlis, Malaysia, International Colloquium on Signal Processing & Its Applications (CSPA) , IEEE, May, 2009.

[12] N. Chen and L. Xing, ―Research of License Plate Recognition based on Improved BP Artificial neural Network,‖ College of computer science Xi’an Polytechnic University Xi’an, China, International Conference on Computer Application and System Modeling, 2010.

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