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An Image Forensic Technique for Detection of Copy-Move Forgery in Digital Image

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Security in Computing and Communications (SSCC 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 625))

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Abstract

Image morphing is a common practice nowadays. To validate a digital image is considered as a perplexing task in the field of image forensic. With numerous kind of tampering been carried out on a digital image, the paper focuses on a detection of common forgery referred to as copy-move forgery or cloning, which is nearly untraceable. The paper contemplates on the color content of the forged image and employs three different methods of feature extraction to aid the detection of forgery. The experimental results show that the feature extraction methods employed detects the forged region accurately and are also effective to rotation and scaling. A performance analysis in detection of forgery for the three methods in terms precision and recall is also presented in the paper, along with a comparison with other state-of-the-art detection methods.

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Authors and Affiliations

  1. Sipna College of Engineering and Technology, Amravati, India

    Ashwini Malviya & Siddharth Ladhake

Authors
  1. Ashwini Malviya
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  2. Siddharth Ladhake
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Corresponding author

Correspondence to Ashwini Malviya .

Editor information

Editors and Affiliations

  1. IBM ZURICH RESEARCH LABORATORY, IBM ZURICH RESEARCH LABORATORY, RUESCHLIKON, Switzerland

    Peter Mueller

  2. Technology and Management, Indian Institute of Information Technology and Management, Kerala, India

    Sabu M. Thampi

  3. Temple University, New York, New York, USA

    Md Zakirul Alam Bhuiyan

  4. Computer Science, University of Waikato Computer Science, Hamilton, New Zealand

    Ryan Ko

  5. Deakin University , Burwood, Victoria, Australia

    Robin Doss

  6. University of the West of Scotland , Paisley, Glasgow, United Kingdom

    Jose M. Alcaraz Calero

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© 2016 Springer Nature Singapore Pte Ltd.

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Malviya, A., Ladhake, S. (2016). An Image Forensic Technique for Detection of Copy-Move Forgery in Digital Image. In: Mueller, P., Thampi, S., Alam Bhuiyan, M., Ko, R., Doss, R., Alcaraz Calero, J. (eds) Security in Computing and Communications. SSCC 2016. Communications in Computer and Information Science, vol 625. Springer, Singapore. https://doi.org/10.1007/978-981-10-2738-3_28

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  • DOI: https://doi.org/10.1007/978-981-10-2738-3_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2737-6

  • Online ISBN: 978-981-10-2738-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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