DCT-PCA Based Method for Copy-Move Forgery Detection

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 249)


Copy move forgery detection is emerging as one of the hot research topic among researchers in the area of image forensics. There are many techniques suggested to detect such type of tampering with the original image but, many issues still remained either unsolved or there is a lot of scope for performance improvement. The most commonly used algorithm to detect such type of tampering is block matching algorithm. Robustness against post processing operations and the time taken by the detection techniques are few of the major challenges. Change of intensity of the copy moved part is one of the post processing operations that may be employed by the attacker to evade the image forgery detection methods. This is successfully addressed in the proposed algorithm. Discrete cosine transform and principal component analysis have been used to represent and compress the feature vector of overlapping blocks respectively. Features , invariant to local change of intensity are created using down sampling of low frequency DCT coefficients.


Blind forgery detection techniques image forensics intensity invariant forgery detection 


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  1. 1.
    Lin, E., Podilchuk, C., Delp, E.: Detection of image alterations using semi-fragile watermarks. In: Proc. SPIE, Security and Watermarking of Multimedia Contens II, vol. 3971, pp. 52–163 (2000)Google Scholar
  2. 2.
    Birajdar, G.K., Mankar, V.H.: Digital image forgery detection using passive techniques: A survey. Digital Investigation, 1–20 (2013)Google Scholar
  3. 3.
    Fridrich, J., Soukalm, D., Lukáš, J.: Detection of copy-move forgery in digital images. In: Digital Forensic Research Workshop, Cleveland, OH, pp. 19–23 (2003)Google Scholar
  4. 4.
    Popescu, A.C., Farid, H.: Exposing Digital Forgeries By Detecting Duplicated Image Regions. Tech. Rep. TR2004-515, Dartmouth College (2004)Google Scholar
  5. 5.
    Kumar, S., Das, P.K., Mukherjee, S.: Copy-Move Forgery Detection in Digital Images: Progress and Challenges. International Journal on Computer Science and Engineering 3(2), 653–663 (2011)Google Scholar
  6. 6.
    Al-Qershi, O.M., Khoo, B.E.: Passive detection of copy-move forgery in digital images: State-of-the-art. Forensic Science International 231(1), 284–295 (2013)CrossRefGoogle Scholar
  7. 7.
    Huang, Y., Lu, W., Sun, W., Long, D.: Improved DCT-based detection of copy-move forgery in images. Forensic Science International 206(1), 178–184 (2011)CrossRefGoogle Scholar
  8. 8.
    Ghorbani, M., Firouzmand, M., Faraahi, A.: DWT-DCT (QCD) based copy-move image forgery detection. In: 2011 18th International Conference on Systems, Signals and Image Processing (IWSSIP), pp. 1–4 (2011)Google Scholar
  9. 9.
    Muhammad, G., Hussain, M., Mirza, A.M., Bebis, G.: Dyadic wavelets and dct based blind copy-move image forgery detection. In: IET Conference on Image Processing (IPR 2012), pp. 1–6 (2012)Google Scholar
  10. 10.
    Mahdian, B., Saic, S.: Detection of copy-move forgery using a method based on blur moment invariants. Forensic Science International 171(2), 180–189 (2007)CrossRefGoogle Scholar
  11. 11.
    Bacchuwar, K.S., Ramakrishnan, K.: A Jump Patch-Block Match Algorithm for Multiple Forgery Detection. In: International Multi-Conference on Automation, Computing, Communication, Control and Compressed Sensing, pp. 723–728 (2013)Google Scholar
  12. 12.
    Chen, W., Er, M.J., Wu, S.: PCA and LDA in DCT domain. Pattern Recognition Letters 26(15), 2474–2482 (2005)CrossRefGoogle Scholar
  13. 13.
    Christlein, V., Riess, C., Jordan, J., Riess, C., Angelopoulou, E.: An Evaluation of Popular Copy-Move Forgery Detection Approaches. IEEE Transactions on Information Forensics and Security 7(6), 1841–1854 (2012)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Faculty of Engineering & TechnologyMody Institute of Technology & ScienceLaxmangarhIndia
  2. 2.Moradabad Institute of TechnologyMoradabadIndia

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