Journal of South China University of Technology (Natural Science Edition) ›› 2015, Vol. 43 ›› Issue (3): 66-71.doi: 10.3969/j.issn.1000-565X.2015.03.010

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Passive Forensics of Images on the Basis of ASIFT and Circle Projection Features

Zhao Jun-hong Ai Wei Zhu Xue-feng   

  1. Key Laboratory of Autonomous Systems and Network Control of the Ministry of Education，South China University of Technology，Guangzhou 510640，Guangdong，China
  • Received:2014-06-06 Revised:2014-10-13 Online:2015-03-25 Published:2015-02-10
  • Contact: 赵俊红(1976-)，女，讲师，博士，主要从事图像取证、图像分析与理解研究． E-mail:jhzhao@scut.edu.cn
  • About author:赵俊红(1976-)，女，讲师，博士，主要从事图像取证、图像分析与理解研究．
  • Supported by:
    Supported by the Open Ｒesearch Project of the State Key Laboratory of Industrial Control Technology(ICT1434) and the Natural Science Foundation of Guangdong Province，China(S2013040014995)

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Abstract: This paper deals with an image analysis method，namely passive forensics，to detect copy-move forgery，the most popular manipulation in digital tampered images． On the basis of ASIFT (Affine Scale-Invariant Feature Transform) and circle projection features，a new algorithm is proposed to detect copy-move forgery in images． The results show that the adoption of ASIFT is effective only in finding the forgery area in a tampered image with obvious corner information，while the adoption of improved circle projection features is effective only in finding the forgery area in a tampered image without such obvious corner information as random textures and flat areas． Thus，it comes to the conclusion that the combination of ASIFT and improved circle projection features is more effective for the pas-sive forensics of copy-move forgery．

Key words: copy-move forgery, image analysis, affine scale-invariant feature transform, circle projection, passive forensics