Copy-Move Forgery Detection Using Scale Invariant Feature and Reduced Local Binary Pattern Histogram

Copy-Move Forgery Detection Using Scale Invariant Feature and Reduced Local Binary Pattern Histogram

Because digitized images are easily replicated or manipulated, copy-move forgery techniques are rendered possible with minimal expertise. Furthermore, it is difficult to verify the authenticity of images. Therefore, numerous efforts have been made to detect copy-move forgeries. In this paper, we pre...

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Bibliographic Details
Main Authors: Jun Young Park, Tae An Kang, Yong Ho Moon, Il Kyu Eom
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Symmetry
Subjects:
copy-move forgery
scale invariant feature transform
local binary pattern
keypoint
feature reduction
global feature
Online Access:https://www.mdpi.com/2073-8994/12/4/492

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https://www.mdpi.com/2073-8994/12/4/492

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