Image Forgery Recognition using SWT Method
Shubhi Gupta1, Arvinda Kushwaha2

1Shubhi Gupta, Deptt.of C.S.E., HRIT, Ghaziabad, India.
2Arvinda Kushwaha, Deptt.of C.S.E, HRIT, Ghaziabad, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 293-296 | Volume-8 Issue-6, August 2019. | Retrieval Number: E7618068519/2019©BEIESP | DOI: 10.35940/ijeat.E7618.088619
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (

Abstract: Using SWT (Stationary Wavelet Change) & SIFT (Scale Invariant Feature Transformation) we attempted to increase the number of features recognized & matched with digital image for forgery identification. Digital image received preferable match for forged area. We collected the forgery area using SIFT& SURF for identification of forgery. We used DWT (Discrete Wavelet Transform) w.r.t. SIFT & SW to subdue absence of translation invariance.
Keywords: SIFT, SURF, Image data, Copy-move, passive technique, features based detection. Image forensics.