Image Splicing Detection Based on Machine Learning Algorithm

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 277)

Abstract

Image splicing is a common method to construct forged image which decreases the authentication of the traditional image. Resizing operation is usually necessary to create a convinced forged image. Though the forged image leaves no visual clues, resizing operation using interpolation method destroys the relationship between neighboring pixels, thus leaving traces which can be captured by statistical feature. We first convert the traces left by resizing to feature and then feed features from enough sample images to support vector machines to train for detector. Finally, we use detector to determine whether the image is tampered and point out which parts of the image are tampered by block-wise method. Experimental results verify the effectiveness of our proposed method.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Southwest University of Science and TechnologyMianyangChina
  2. 2.Mianyang Vocational and Technical CollegeMianyangChina

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