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A Novel Copy-Move Image Forgery Detection Method Using 8-Connected Region Growing Technique

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Advances in Electrical and Computer Technologies

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 672))

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Abstract

With the recent advancement of digital communication and Internet technology, there exist so many applications surrounded in our daily life where digital images play a vital role. Manipulation of digital images becomes a serious authentication threat in today’s world due to the availability of high-resolution cameras, powerful computer, and above all advanced image editing tools. Forgers are advancing themselves day by day with more sophisticated forgery techniques, so researchers must come up with more updated and advanced forgery detection techniques. Copy-move forgery or region duplication is a well-known image tampering technique where one part of an image is copied and pasted in another location of the same image in a way undetectable by human eye. A novel copy-move forgery detection technique is presented in this paper. The detection starts from a seed block and grows by finding match in an eight-connected region. Experimental results show that the proposed method has higher accuracy ratio and less performance time than the state-of-the-art techniques in the field of block-based image forgery detection.

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Author information

Authors and Affiliations

  1. Department of Information Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, 711103, India

    Shyamalendu Kandar & Ardhendu Sarkar

  2. Department of Information Technology, Jadavpur University, Salt Lake Campus, Kolkata, 700098, India

    Bibhas Chandra Dhara

Authors
  1. Shyamalendu Kandar
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  2. Ardhendu Sarkar
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  3. Bibhas Chandra Dhara
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Corresponding author

Correspondence to Shyamalendu Kandar .

Editor information

Editors and Affiliations

  1. SVS College of Engineering, Coimbatore, Tamil Nadu, India

    Thangaprakash Sengodan

  2. Kuwait College of Science and Technology, Doha, Kuwait

    M. Murugappan

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

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Kandar, S., Sarkar, A., Dhara, B.C. (2020). A Novel Copy-Move Image Forgery Detection Method Using 8-Connected Region Growing Technique. In: Sengodan, T., Murugappan, M., Misra, S. (eds) Advances in Electrical and Computer Technologies. Lecture Notes in Electrical Engineering, vol 672. Springer, Singapore. https://doi.org/10.1007/978-981-15-5558-9_11

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  • DOI: https://doi.org/10.1007/978-981-15-5558-9_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5557-2

  • Online ISBN: 978-981-15-5558-9

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