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Perceptual Hash Function for Images Based on Hierarchical Ordinal Pattern

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Handbook of Multimedia Information Security: Techniques and Applications

Abstract

Distinguishing between the original and manipulated image is now a major issue as digital media can be easily manipulated, due to the advancement of the image processing techniques. A scheme is required to check the integrity of the digital multimedia. Another issue is efficient indexing and retrieval for multimedia data. Traditional indexing methods are time consuming and inefficient. Huge amount of data are generated by the users due to the growth of the Internet, which leads to storing and transmission of large volume of digital data. A perceptual hashing function is an effective solution to provide protection, integrity and authentication. Perceptual hashing function needs to be robust against geometric attacks and distinguish between perceptually different data. A robust perceptual image hash function is being proposed based on ordinal pattern, which were generated hierarchically.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, NIT Nagaland, Dimapur, Nagaland, India

    Arambam Neelima

  2. Department of Computer Science and Engineering, NIT Manipur, Imphal, Manipur, India

    Kh. Manglem Singh

Authors
  1. Arambam Neelima
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  2. Kh. Manglem Singh
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Corresponding author

Correspondence to Arambam Neelima .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, NIT Patna, Patna, India

    Amit Kumar Singh

  2. Department of Electronics Engineering, Indian Institute of Technology, BHU, Varanasi, Uttar Pradesh, India

    Anand Mohan

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Neelima, A., Singh, K.M. (2019). Perceptual Hash Function for Images Based on Hierarchical Ordinal Pattern. In: Singh, A., Mohan, A. (eds) Handbook of Multimedia Information Security: Techniques and Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-15887-3_11

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  • DOI: https://doi.org/10.1007/978-3-030-15887-3_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15886-6

  • Online ISBN: 978-3-030-15887-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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