Earticle

초록

영어

In order to solve such problems as poor robustness and low detection accuracy in the present copying & pasting forgery detection algorithm, an image copying & moving forgery detection algorithm based on non-sampling wavelet transform (undecimated wavelet transform, UWT) coupling with Zernike moments is proposed in this article. Firstly, the non-sampling wavelet transform is adopted to decompose the input image into approximation coefficient LL and detail coefficient HH to obtain the similarity and the diversity of the image blocks; secondly, the overlapped blocks are divided to calculate the sub-block interval of the image; thirdly, the sub-blocks are ordered and classified according to LL similarity and HH diversity; fourthly, Zernike moments are introduced to construct the distance matrix for image feature matching and image forgery detection. The experiment shows: the algorithm proposed thereby has good translation invariance and amplitude rotation invariance, good post-processing resistance performance, high detection accuracy, low false negative rate and low false positive rate.

목차

Abstract
 1. Introduction
 2. Mathematical Model for Copying & Moving Forgery
 3. Forgery Detection Algorithm
  3.1. Non Sampling Wavelet Transform
  3.2. Zernike Moments
  3.3. Specific Implementation
 4. Experimental Result
  4.1. Copying & Pasting Forgery Detection of the Tampered Zone without Rotation
  4.2. Test under Noise andJPEGCompression Factor
 5. Conclusion
 Reference

키워드

저자

• Xiao Jinke [ Public Security Fourteen Bureau Zhuhai City Guangdong Province, Zhuhai Guangdong, 519000 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605