Fusion of Handcrafted and Deep Features for Forgery Detection in Digital Images

Fusion of Handcrafted and Deep Features for Forgery Detection in Digital Images

Content authentication of digital images has captured the attention of forensic experts and security researchers due to a multi-fold increase in the dissemination of multimedia data through the open and vulnerable Internet. Shrewd attackers successfully devise novel ways to challenge state-of-art fo...

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Bibliographic Details
Main Authors: Savita Walia, Krishan Kumar, Munish Kumar, Xiao-Zhi Gao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Image forensics
image manipulations
pre-trained networks
Markov process
local binary pattern
deep learning
Online Access:https://ieeexplore.ieee.org/document/9481119/

Internet

https://ieeexplore.ieee.org/document/9481119/

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