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A New Approach of Shape Recognition with Affine Invariance Based on HSC

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Advances in Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 82))

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Abstract

This paper proposes an approach for shape recognition. Shape recognition plays an important role in intelligent system and a lot of methods are produced recent years. HSC is a state-of-art method among them. But it can hardly deal with affine shapes. A novel approach based on HSC is proposed in this paper. This approach proposes an objective function with the affine state as parameters. When this objective function gets the maximum value, a shape is normalized, so the result of recognizing cannot be affected. The experimental result shows that this proposed approach is invariant to affine transformation.

This work was supported by the National Natural Science Foundation of China under Grants No. 61571346.

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Author information

Authors and Affiliations

  1. Institute of Intelligent Control and Image Engineering, Xidian University, Xian, 710071, China

    Yan Zheng, Baolong Guo & Yunyi Yan

Authors
  1. Yan Zheng
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  2. Baolong Guo
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  3. Yunyi Yan
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Corresponding author

Correspondence to Baolong Guo .

Editor information

Editors and Affiliations

  1. Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. Swinburne University of Technology, Hawthorn, Victoria, Australia

    Pei-Wei Tsai

  3. Universiti Teknologi Petronas, Teronoh, Malaysia

    Junzo Watada

  4. University of Canberra, Bruce, Aust Capital Terr, Australia

    Lakhmi C. Jain

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Zheng, Y., Guo, B., Yan, Y. (2018). A New Approach of Shape Recognition with Affine Invariance Based on HSC. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-319-63859-1_50

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  • DOI: https://doi.org/10.1007/978-3-319-63859-1_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63858-4

  • Online ISBN: 978-3-319-63859-1

  • eBook Packages: EngineeringEngineering (R0)

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