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Application of Improved Gaussian-Hermite Moments in Intelligent Parking System

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Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017 (EITRT 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 482))

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Abstract

The Gaussain-Hermite moments theory is applied to license plate recognition system in this paper. At the same time, the order of Gaussian-Hermite moments are improved by two-dimensional simulated annealing algorithm, the image reconstruction is achieved by obtaining characteristic moments. Experimental results show that the algorithm has high research value and application value.

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References

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Acknowledgements

Foundation item: Science and technology fund of Guizhou province (LH[2014]7390).

Foundation item: Research foundation of Guizhou Minzu University for Nationalities (16jsxm026).

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Authors and Affiliations

  1. Guizhou University for Nationalities, Huaxi, Guiyang, China

    Xing He, Lin Wang & Zhongyou Zuo

Authors
  1. Xing He
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  2. Lin Wang
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  3. Zhongyou Zuo
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Corresponding author

Correspondence to Xing He .

Editor information

Editors and Affiliations

  1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China

    Limin Jia

  2. Beijing Jiaotong University, Beijing, China

    Yong Qin

  3. CRRC Zhuzhou Locomotive Co., Ltd., Zhuzhou, China

    Jianguo Suo

  4. CRRC Zhuzhou Institute Co., Ltd., Zhuzhou, China

    Jianghua Feng

  5. Beijing Jiaotong University, Beijing, China

    Lijun Diao

  6. University of Salford, Manchester, United Kingdom

    Min An

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He, X., Wang, L., Zuo, Z. (2018). Application of Improved Gaussian-Hermite Moments in Intelligent Parking System. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 482. Springer, Singapore. https://doi.org/10.1007/978-981-10-7986-3_70

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  • DOI: https://doi.org/10.1007/978-981-10-7986-3_70

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7985-6

  • Online ISBN: 978-981-10-7986-3

  • eBook Packages: EnergyEnergy (R0)

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