Author Login IJIRT Partner Network (IPN) Login

Splicing Forgery Detection Technique for Digital Images: A Review

  • Unique Paper ID: 148220
  • Volume: 5
  • Issue: 12
  • PageNo: 750-753
  • Abstract:
  • The authenticity of digital image is finding out by using Image Forgery Detection technique. For the area of digital forensics and multimedia security it is more important. Photo-editing software, powerful computers, and a device the high resolution images are used for the manipulation. So, it is very difficult for finding the transformation in the digital image by the human eyes. The proposed method to identify splicing forgery for images which are blurred, resized and angular transformed. These images need a special kind of feature extraction namely Stationary Wavelet Transform and Singular Value Decomposition in order to perform the task. For the features extraction, we will use singular value decomposition of an image. Also, the concept of color-based segmentation will be used in this work help to achieve blur invariance. We plan to improve the overall efficiency of the system with the help of multiple feature extraction techniques.
email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 5
  • Issue: 12
  • PageNo: 750-753

Splicing Forgery Detection Technique for Digital Images: A Review

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry