An Eficient Approach to Copy Move Forgery Detection using DWT and SIFT Features

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Apeksha Ingle; Dr. C. N. Deshmukh; Dr. D. T. Ingole

An Eficient Approach to Copy Move Forgery Detection using DWT and SIFT Features

Authors: Apeksha Ingle, Dr. C. N. Deshmukh, Dr. D. T. Ingole

Unique Paper ID: 179681
Volume: 11
Issue: 12
PageNo: 7877-7883

Keywords: No Keywords Found

Abstract:
The topic of copy move forgeries is becoming more and more popular among picture forensic experts. Essentially, copy move forgery involves replicating a single area in a picture by pasting a specific section of the same image onto it. Several methods have been employed to identify this kind of counterfeit. An improved method for identifying copy move forgeries is put forth in this research. To improve the robustness and accuracy of copy-move forgery detection, the suggested approach combines block-based techniques like Discrete Wavelet Transform (DWT) with feature-based techniques like Scale Invariant Feature Transform (SIFT). Initially, a picture is subjected to DWT in order to deconstruct it into four parts: LL, HL, HH, and LH. Since the majority of the information is contained in the LL component, SIFT is only applied to the LL part in order to further extract the image's essential features, match those features using interblock matching, identify the identical portion or portions between the images, and designate them as forged. This technique more precisely highlights the fraud and determines whether picture forgery has happened.

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ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 7877-7883

An Eficient Approach to Copy Move Forgery Detection using DWT and SIFT Features

Available:https://ijirt.org/article?manuscript=179681

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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