Detection of Digital Image Forgeries for Forensics Applications

Authors

  • Lorin Enico Arthi Student, National college of Engineering, Tirunelveli, Tamilnadu, India
  • Mohamed Ali2 Associate Professor (Department of ECE) in National College of Engineering, Tirunelveli, Tamilnadu, India

Keywords:

Image forgery, image splicing, copy move image forgery, Keypoint, DCT.

Abstract

In this modern world, digital computing plays an important role in representing information as digital images. Due to the considerable improvement in imaging technologies the convenience, cleverness and transmission of digital images is easy today. However, the image editing technology is also being used for manipulating digital images and creating forgeries that
are difficult to distinguish from authenticated photographs. Copy move forgery is a type of forgery in digital image forensics. A  Gaussian filtering technique along with EM algorithm is proposed in this paper to detect the copy move forged area and its performance is compared with the block based method and keypoint based method. The parameters like precision and recall
values are evaluated and plotted.

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Published

25-07-2014

How to Cite

Lorin Enico Arthi. S, & E. A. Mohamed Ali. (2014). Detection of Digital Image Forgeries for Forensics Applications . ERES International Journal of Bio Signal and Image Processing, 1(2), 12–17. Retrieved from https://eresjournals.org/journals/index.php/ijbsip/article/view/50