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A Keypoint-Based Technique for Detecting the Copy Move Forgery in Digital Images

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Micro-Electronics and Telecommunication Engineering (ICMETE 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 894))

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Abstract

A decade of research has been conducted on detecting copy-move forgeries (CMFD). Technology has enabled the manipulation of images, once the most authentic source of information. This paper proposes a copy-move forgery detection algorithm based on fused features to address issues such as time complexity and difficulty detecting forgeries in smooth regions. To extract descriptive features, a low-contrast threshold was used in conjunction with three detection methods, including scale-invariant feature transform (SIF), speeded-up robust features (SURF), and accelerated KAZE (AKAZE). SURF and accelerated KAZE (AKAZE) are used in our keypoint-based CMFD technique. To detect manipulated regions efficiently, AKZAE, SURF, and SIFT can be used to extract major keypoints in smooth regions.

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Authors and Affiliations

  1. ZHCET, AMU, Aligarh, UP, 202001, India

    Kaleemur Rehman & Saiful Islam

Authors
  1. Kaleemur Rehman
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  2. Saiful Islam
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Correspondence to Kaleemur Rehman .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Devendra Kumar Sharma

  2. National Taipei University of Business, Taoyuan, Taiwan

    Sheng-Lung Peng

  3. Department of Electronics and Communication Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Rohit Sharma

  4. Department of Embedded Systems Engineering, Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

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Rehman, K., Islam, S. (2024). A Keypoint-Based Technique for Detecting the Copy Move Forgery in Digital Images. In: Sharma, D.K., Peng, SL., Sharma, R., Jeon, G. (eds) Micro-Electronics and Telecommunication Engineering. ICMETE 2023. Lecture Notes in Networks and Systems, vol 894. Springer, Singapore. https://doi.org/10.1007/978-981-99-9562-2_66

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  • DOI: https://doi.org/10.1007/978-981-99-9562-2_66

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9561-5

  • Online ISBN: 978-981-99-9562-2

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