Journal of Systems Science and Complexity

, Volume 28, Issue 5, pp 1164–1176 | Cite as

The detecting system of image forgeries with noise features and EXIF information

  • Xiaoting SunEmail author
  • Yezhou Li
  • Shaozhang Niu
  • Yanli Huang


Recently, the digital image blind forensics technology has received an increasing attention in academic community. This paper aims at developing a new identification approach based on the statistical noise and exchangeable image file format (EXIF) information of image for images authentication. In particular, the authors can identify whether the current image has been modified or not by utilizing the relevance between noise and EXIF parameters and comparing the real values with the estimated values of the EXIF parameters. Experimental results validate the proposed method. That is, the detecting system can identify the doctored image effectively.


Blind forensics doctored image EXIF parameters noise features 


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Copyright information

© Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Xiaoting Sun
    • 1
    Email author
  • Yezhou Li
    • 1
  • Shaozhang Niu
    • 2
  • Yanli Huang
    • 2
  1. 1.School of ScienceBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.Beijing Key Lab of Intelligent Telecommunication Software and MultimediaBeijing University of Posts and TelecommunicationsBeijingChina

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