JETIREXPLORE- Search Thousands of research papers



Published in:

Volume 8 Issue 2
February-2021
eISSN: 2349-5162

Unique Identifier

JETIR2102165

Page Number

1383-1391

Share This Article


Title

Copy-move forgery detection in digital images using center-symmetric Local Binary Patterns and edge-based feature matching

ISSN

2349-5162

Cite This Article

"Copy-move forgery detection in digital images using center-symmetric Local Binary Patterns and edge-based feature matching", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 2, page no.1383-1391, February-2021, Available :http://www.jetir.org/papers/JETIR2102165.pdf

Abstract

Copy-move forgery detection is a highly challenging task in image forensics. In this work, we propose a novel two-Match detection method for the accurate localization and identification of forgery regions with high efficiency. First, we propose the edge detection on forged image so that only edge pixel blocks can be considered in matching which decrease computation time of the algorithm. Secondly, we proposed center symmetric local binary patterns (CSLBP) as feature extractors for matching process. The local binary pattern, with its simple principle, low computational complexity, grayscale invariance, and illumination insensitivity, can extract the texture features of images and fuse the over- all features of an image. The basic idea of LBP is to compare the gray value of every neighboring pixel with that of the center pixel. Taking the radius of 1 and the number of pixels of 8 as an example, taking the center point as the base point, the gray value of the central point is compared with the gray values of 8 pixels in neighborhood. If the gray value of the neighboring pixels is greater than that of the center pixel, the gray values of all neighboring pixels are set to 1; on the contrary, the gray values of all neighboring pixels are set to 0. CSLBP is an effective variant of traditional LBP method. After Pre-matching, dilation and erosion morphological operations are applied to get region of interest for post-matching. It includes whole filled area around the edge pixels detected in first-Matching stage along with some false positives. Post-matching excludes such false positives which leaves only the true forged pixels. Future work can be expanded to other types of image forgeries i.e., image slicing and rotation, in order to perfect the forgery detection solution.

Key Words

Copy-move forgery detection (CMFD), CS-LBP, Feature extraction, SVD.

Cite This Article

"Copy-move forgery detection in digital images using center-symmetric Local Binary Patterns and edge-based feature matching", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp1383-1391, February-2021, Available at : http://www.jetir.org/papers/JETIR2102165.pdf

Publication Details

Published Paper ID: JETIR2102165
Registration ID: 306262
Published In: Volume 8 | Issue 2 | Year February-2021
DOI (Digital Object Identifier):
Page No: 1383-1391
ISSN Number: 2349-5162

Download Paper

Preview Article

Download Paper




Cite This Article

"Copy-move forgery detection in digital images using center-symmetric Local Binary Patterns and edge-based feature matching", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp1383-1391, February-2021, Available at : http://www.jetir.org/papers/JETIR2102165.pdf




Preview This Article


Downlaod

Click here for Article Preview