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International Conference on Artificial Intelligence and Security

ICAIS 2019: Artificial Intelligence and Security pp 455–466Cite as

Image Hashing Based on CS-LBP and DCT for Copy Detection

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11634))

Abstract

In order to improve the accuracy and speed of copy detection, we propose an image hashing algorithm based on local feature and global feature in this paper. Firstly, input image is converted to a normalized image. Then, wavelet decomposition is applied to the preprocessed image to produce approximate image and high-frequency information. Center symmetric local binary pattern (CS-LBP) is applied to approximate image to produce a CS-LBP texture image. The local feature is extracted by dividing blocks and selecting mean, variance, third moment, fourth moment statistics feature in CS-LBP texture image. The global feature is extracted by selecting the discrete cosine transform (DCT) coefficients of high frequency-information. Finally, local features and global features are combined to generate image hashing. Experiment with open images are carried out and the results show that the proposed algorithm is robust and discriminative. The precision rate and the recall rate (P-R) curve comparisons show that our hashing algorithm outperforms some existing hashing algorithms in copy detection.

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Acknowledgements

This work was supported by National Natural Science Foundations of China under Grant (61802250).

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Authors and Affiliations

  1. Department of Electronics and Information Engineering, Shanghai University of Electric Power, 2588 Changyang Road, Shanghai, 200090, People’s Republic of China

    Qi Shen & Yan Zhao

Authors
  1. Qi Shen
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  2. Yan Zhao
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Corresponding author

Correspondence to Yan Zhao .

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Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Zhaoqing Pan

  3. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Shen, Q., Zhao, Y. (2019). Image Hashing Based on CS-LBP and DCT for Copy Detection. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11634. Springer, Cham. https://doi.org/10.1007/978-3-030-24271-8_41

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  • DOI: https://doi.org/10.1007/978-3-030-24271-8_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24270-1

  • Online ISBN: 978-3-030-24271-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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