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Identification of copy-move and splicing based forgeries using advanced SURF and revised template matching

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Abstract

Various image tampering detection approaches are used to find the variations or inconsistencies in statistical image features. But still these techniques lack behind to identify copy-move and splicing based manipulations. The manipulation in digital data encourages the crimes, particularly in the domain of image processing and computer vision-based applications. Therefore, to find image forgeries, new method needs to be designed so that originality of data is authenticated in the court of law or jurisdiction. To achieve, a pixel based forgery detection framework for copy-move and splicing based forgeries is suggested in this paper. Initially, pre-processing over image data is performed to enhance the textural information. The proposed system estimates various features using enhanced SURF and template matching for the identification of fake image regions. The relevant key parameters are estimated and compared with the calculated threshold value. The evaluation is carried out using CASIA forged image dataset. The results are evaluated and compared with other existing methods through a comprehensive set of experiments. The enhanced SURF method produces a forgery detection accuracy of 97%, while template matching gives 100% forgery detection. As a whole system, the accuracy is 97.5%. Thus, the demonstrated result shows that the proposed framework attains considerably more detection accuracy compared to other state-of-art techniques.

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Authors and Affiliations

  1. Department of Computer Science, G L Bajaj Institute of Technology and Management, Greater Noida, UP, India

    Anuj Rani

  2. Bansathali Vidyapith, Tonk, Rajasthan, India

    Anuj Rani

  3. Department of Computer Science, Banasthali Vidyapith, Tonk, Rajasthan, India

    Ajit Jain

  4. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India

    Manoj Kumar

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  1. Anuj Rani
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  2. Ajit Jain
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Correspondence to Ajit Jain.

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Rani, A., Jain, A. & Kumar, M. Identification of copy-move and splicing based forgeries using advanced SURF and revised template matching. Multimed Tools Appl 80, 23877–23898 (2021). https://doi.org/10.1007/s11042-021-10810-6

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  • DOI: https://doi.org/10.1007/s11042-021-10810-6

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