An Enhanced Approach to Detect Copy Move Forgery

Ruchita Singh; Dr. Ashish Oberoi; Nishi Goel

Due to the enhancement in the availability and quality of image manipulation tools, it is easy for a forger to forge any image without living any traces of modification. Digital Image tampering is now-a-days very common. Most obvious practice for doing forgery is Copy Move Forgery. In this research, a novel approach to detect Copy Move forgery is proposed. In this approach block based method and feature based method is employed to extract features from the image and extracted features are than matched to detect forgery and also perform the localization of the Forged Regions in the Digital Image.

Select Volume / Issues:

• Volume 5,Issue 4, July 2014

Year:

2014

Type of Publication:

Article

Keywords:

Copy Move Forgery; Discrete Cosine Transform DCT; Feature Extraction; Block Based; Scale Invariant Feature Transform SIFT

Journal:

IJECCE

Volume:

5

Number:

4

Pages:

890-894

Month:

July