Computer Science ›› 2017, Vol. 44 ›› Issue (6): 150-154.doi: 10.11896/j.issn.1002-137X.2017.06.025

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Image Splicing Blind Detection Method Combined RLRN with GLCM

SU Hui-jia and ZHENG Ji-ming   

  • Online:2018-11-13 Published:2018-11-13

Abstract: An algorithm on blind detection of splicing images by using the statistical characteristics with run-length and gray-level co-occurrence matrix(GLCM) features was researched.Splicing detection can be treated as a two-class pattern problem.This paper proposed an enhanced technique for blind detection of image splicing.It extracts the run-length run-number(RLRN) in CbCr chroma space and combines with GLCM feature to detect the artifacts introduced by the tampering operation.Then,the LibSVM is exploited to classify the authentic and spliced images.The experiment results demonstrate that the proposed algorithm not only improves the accurate recognition rate in CASIA v2.0 dataset,but also can achieve well copy-move tampered detection.

Key words: Image splicing detection,Run-length run-number(RLRN),Gray-level co-occurrence matrix(GLCM),Support vector machine(SVM)

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