Texture based Image Splicing Forgery Recognition using a Passive Approach

Authors

  • Asif Hassan Bhagwant University, Ajmer, India
  • V K Sharma Bhagwant University

Keywords:

Copy move forgery, gray level co-occurrence matrix, image splicing forgery, texture segmentation

Abstract

With the growing usage of the internet in daily life along with the usage of dominant picture editing software tools in creating forged pictures effortlessly, make us lose trust in the authenticity of the images. For more than a decade, extensive research is going on in the Image forensic area that aims at restoring trustworthiness in images by bringing various tampering detection techniques. In the proposed method, identification of image splicing technique is introduced which depends on the picture texture analysis which characterizes the picture areas by the content of the texture. In this method, an image is characterized by the regions of their texture content. The experimental outcomes describe that the proposed method is effective to identify spliced picture forgery with an accuracy of 79.5%.

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Published

08-04-2021

How to Cite

Hassan, A., & Sharma, V. K. . (2021). Texture based Image Splicing Forgery Recognition using a Passive Approach. International Journal of Integrated Engineering, 13(4), 112–121. Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/6903

Issue

Section

Articles