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Edge Based Robust and Secure Perceptual Hashing Framework

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Computer Vision and Image Processing (CVIP 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1378))

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Abstract

In this paper, a novel hashing framework is proposed using edge map and image normalization. In the proposed method, the input image is normalized using geometric moments and an edge map is then employed using the canny edge detector. The estimated binary image is divided into non-overlapping blocks and a chaotic map is used for random block selection. The singular value decomposition is carried out on the selected blocks for extracting the significant features followed by generation of hash value. The simulation results support the contention that the proposed technique is secure and considerately robust against a variety of image manipulations.

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Authors and Affiliations

  1. Department of Mathematics, Indian Institute of Technology Jodhpur, Jodhpur, India

    Satendra Pal Singh & Gaurav Bhatnagar

Authors
  1. Satendra Pal Singh
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  2. Gaurav Bhatnagar
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Corresponding author

Correspondence to Satendra Pal Singh .

Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology Allahabad, Prayagraj, India

    Satish Kumar Singh

  2. Indian Institute of Technology Roorkee, Roorkee, India

    Partha Roy

  3. Indian Institute of Technology Roorkee, Roorkee, India

    Balasubramanian Raman

  4. Indian Institute of Information Technology Allahabad, Prayagraj, India

    P. Nagabhushan

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Singh, S.P., Bhatnagar, G. (2021). Edge Based Robust and Secure Perceptual Hashing Framework. In: Singh, S.K., Roy, P., Raman, B., Nagabhushan, P. (eds) Computer Vision and Image Processing. CVIP 2020. Communications in Computer and Information Science, vol 1378. Springer, Singapore. https://doi.org/10.1007/978-981-16-1103-2_41

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  • DOI: https://doi.org/10.1007/978-981-16-1103-2_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-1102-5

  • Online ISBN: 978-981-16-1103-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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