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License Plate Location Algorithm Based on Multiresolution Edge Detection

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Proceedings of the 2012 International Conference on Cybernetics and Informatics

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 163))

Abstract

Because of low precision of license plate location in the color vehicle images with complex background, a new License Plate Location Algorithm was proposed based on multi-scale edge detection method with wavelet transform. Firstly, we perform WT on two directions respectively, and obtain the magnitude of the 2-D WT. Then detect the maxima magnitude of WT as the image edge and get edge image. At last, the projection approach based on two-way back is adopted to examine up-down and left-right boundary of the car license. Experimental results demonstrate that the proposed method can enhance the images location speed and accurate capture license plate region.

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References

  1. Libo, Zeng Zhiyuan, Zhou Jianzhong (2009) An adaptive algorithm for automatic license plate orientation. J Image Graphic 14:1978–1984

    Google Scholar 

  2. Huang YR, Duan H (2009) Edge detection of license plate based on avelet transform and quantum genetic algorithm. In: Proceedings of the SPIE on the international society for optical engineering, Wuhan, vol 1, pp 6786–6789

    Google Scholar 

  3. Abd. Rahman Ramli (2004) Preserving brightness in histogram equalization based contrast enhancement techniques. Digit Signal Process 14:413–428

    Google Scholar 

  4. Novak CL, Shafer SA (2010) Anatomy of a color histogram. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition, vol 12. IEEE, Champaign, pp 599–605

    Google Scholar 

  5. Wu BF, Lin SP, Chiu CC (2007) Extracting characters from real vehicle licence plates ou-t of- do or s. IET Comput Vision 1:2–10

    Article  MathSciNet  Google Scholar 

  6. Cheng HD, Shi XJ (2004) A simple and effective histogram equalization approach to image enhancement. Digit Signal Process, Beijing, 14:158–170

    Article  Google Scholar 

  7. Youssef SM, AbdelRahman SB (2008) A smart access control using an efficient license plate location and recognition approach. Expert Syst Appl 34:256–265

    Article  Google Scholar 

  8. Ming GH, Harvey AL, Danelutti P (1996) Car number plate detection with edge image improvement. In: Proceedings of the 4th international symposium on signal process and its applications, vol 2, pp 597–600

    Google Scholar 

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Acknowledgements

This work has been supported by Ministry of Education financing project (Z2009-1-01033), Inner Mongolian University technological project and Inner Mongolian Natural science project (2010MS0907)

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Correspondence to Zhang Baohua .

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Baohua, Z., Yu, G. (2014). License Plate Location Algorithm Based on Multiresolution Edge Detection. In: Zhong, S. (eds) Proceedings of the 2012 International Conference on Cybernetics and Informatics. Lecture Notes in Electrical Engineering, vol 163. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3872-4_268

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  • DOI: https://doi.org/10.1007/978-1-4614-3872-4_268

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-3871-7

  • Online ISBN: 978-1-4614-3872-4

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