Skip to main content
SpringerLink
Log in

Image Authentication Using Local Binary Pattern on the Low Frequency Components

  • Conference paper
  • First Online:
Microelectronics, Electromagnetics and Telecommunications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 372))

Abstract

Detection of copy move forgery in images is helpful in legal evidence, in forensic investigation and many other fields. Many Copy Move Forgery Detection (CMFD) schemes are existing in the literature. However, most of them fail to withstand post-processing operations viz., JPEG Compression, noise contamination, rotation. Even if able to identify, they consumes much time to detect and locate. In this paper, a technique is proposed which uses Discrete Wavelet Transform (DWT) and Local Binary Pattern (LBP) to identify copy-move forgery. Features are extracted by using LBP on the LL band obtained by applying DWT on the input image. Proper selection of similarity and distance thresholds can localize the forged region correctly.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Y. Cao, T. Gao, L. Fan, Q. Yang, A robust detection algorithm for copy-move forgery in digital images. Forensic Sci. Int. 214(2012), 33–43 (2012)

    Google Scholar 

  2. G. Li, Q. Wu, D. Tu, S. Sun, A sorted neighborhood approach for detecting duplicated regions in image forgeries based on DWT and SVD, in Proceedings of IEEE International Conference on Multimedia and Expo. (2007), pp. 1750–1753

    Google Scholar 

  3. S. Khan, A. Kulkarni, An efficient method for detection of copy-move forgery using discrete wavelet transform. Int. J. Comput. Sci. Eng. 2(5), 1801–1806 (2010)

    Google Scholar 

  4. M. Ghorbani, M. Firouzmand, A. Faraahi, DWT-DCT (QCD) based copy move image forgery detection, In 18th International Conference on Systems, Signals and Image Processing (IWSSIP 2011) Sarajevo (2011), pp. 1–4

    Google Scholar 

  5. B. Yang, X. Sun, X. Chen, J. Zhang, X. Li, An efficient forensic method for copy-move forgery detection based on DWT-FWHT. Radio Eng. 22(4),(2013)

    Google Scholar 

  6. L. Li, S. Li, H. Zhu, An efficient scheme for detecting copy-move forged images by local binary patterns. J. Inf. Hiding Multimedia Signal Process. Ubiquitous Int. 4(1), (2013)

    Google Scholar 

  7. G. Amara, An introduction to wavelets. IEEE Comput. Sci. Eng. 2(2), 50–61 (1992)

    Google Scholar 

  8. T. Ojala, M. Pietikainen, T. Maenpaa, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 971–987 (2002)

    Article  MATH  Google Scholar 

  9. CASIA, Image tampering detection evaluation database (2010), http://forensics.idealtest.org

Download references

Author information

Authors and Affiliations

  1. Department of ECE, JNTUK-UCEV, Vizianagaram, 535003, Andhra Pradesh, India

    Ch. Srinivasa Rao & S. B. G. Tilak Babu

Authors
  1. Ch. Srinivasa Rao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. B. G. Tilak Babu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ch. Srinivasa Rao .

Editor information

Editors and Affiliations

  1. Dept of Computer Science Engineering, Anil Neerukonda Institute of Techn. and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  2. Electronics & Communication Engineering, National Institute of Technology Electronics & Communication Engineering, Warangal, India

    N Bheema Rao

  3. Electronics & Communication Engineering, Jawaharlal Nehru Technological Univ, Kakinada, Andhra Pradesh, India

    S Srinivas Kumar

  4. Electronics & Communication Engineering, GITAM University Electronics & Communication Engineering, Visakhapatnam, Andhra Pradesh, India

    C Dharma Raj

  5. Electronics & Communication Engineering, GITAM University Electronics & Communication Engineering, Visakhapatnam, Andhra Pradesh, India

    V Malleswara Rao

  6. Electronics & Communication Engineering, GITAM University Electronics & Communication Engineering, Visakhapatnam, India

    G V K Sarma

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer India

About this paper

Cite this paper

Srinivasa Rao, C., Tilak Babu, S.B.G. (2016). Image Authentication Using Local Binary Pattern on the Low Frequency Components. In: Satapathy, S., Rao, N., Kumar, S., Raj, C., Rao, V., Sarma, G. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 372. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2728-1_49

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-2728-1_49

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2726-7

  • Online ISBN: 978-81-322-2728-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation