Results 71 to 80 of about 13,849 (178)

CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection

IEEE Access
Authenticating digital images poses a significant challenge due to the widespread use of image forgery techniques, including copy-move forgery. Copy-move forgery involves copying and pasting portions of an image within the same image while applying ...
Anjali Diwan, Anil K. Roy
doaj   +1 more source

Dual-Module Architecture for Robust Image Forgery Segmentation and Classification Toward Cyber Fraud Investigation

Applied Sciences
This study presents a dual-module architecture for image forgery detection in the context of cyber fraud investigation, designed to provide interpretable and court-admissible forensic evidence.
Donghwan Kim, Hansoo Kim
doaj   +1 more source

Boosting Image Forgery Detection using Resampling Features and Copy-move analysis

, 2018
Realistic image forgeries involve a combination of splicing, resampling, cloning, region removal and other methods. While resampling detection algorithms are effective in detecting splicing and resampling, copy-move detection algorithms excel in ...
Bappy, Jawadul H., Bunk, Jason, Chandrasekaran, Shivkumar, Flenner, Arjuna, Manjunath, B. S., Mohammed, Tajuddin Manhar, Nataraj, Lakshmanan, Peterson, Lawrence, Roy-Chowdhury, Amit K.   +8 more
core  

Visual Complexity in Korean Documents: Toward Language-Specific Datasets for Deep Learning-Based Forgery Detection

Applied Sciences
Recent advancements in information and communication technology have driven various organizations, including businesses, government agencies, and institutions, to digitize and manage critical documents. Document digitization mitigates spatial constraints
Yong-Yeol Bae, Dae-Jea Cho, Ki-Hyun Jung
doaj   +1 more source

Retracted: Design of Automated Deep Learning-Based Fusion Model for Copy-Move Image Forgery Detection. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Multiple Classifier Systems for Image Forgery Detection [PDF]

, 2013
A large number of techniques have been proposed recently for forgery detection, based on widely different principles and processing tools. As a result, each technique performs well with some types of forgery, and under given hypotheses, and much worse in other situations. To improve robustness, one can merge the output of different techniques but it is
COZZOLINO, DAVIDE, GARGIULO, francesco, SANSONE, CARLO, VERDOLIVA, LUISA   +3 more
openaire   +3 more sources

Comprehensive analyses of image forgery detection methods from traditional to deep learning approaches: an evaluation. [PDF]

Multimed Tools Appl, 2023
Sharma P, Kumar M, Kumar M, Sharma H.
europepmc   +1 more source

Digital Image Forgery Detection

International Journal of Recent Technology and Engineering, 2019
With the growing challenges in authenticity and integrity of images, image manipulation has crumbled assurance over digital image. The major motivation of the forgery in image is manipulating the image in such a way that it cannot be distinguished to the naked eye.
openaire   +1 more source

An Evaluation of Digital Image Forgery Detection Approaches

CoRR, 2017
With the headway of the advanced image handling software and altering tools, a computerized picture can be effectively controlled. The identification of image manipulation is vital in light of the fact that an image can be utilized as legitimate confirmation, in crime scene investigation, and in numerous different fields.
Abhishek Kashyap, Rajesh Singh Parmar, Megha Agarwal, Hariom Gupta   +3 more
openaire   +2 more sources

ECMNet: A deep framework for copy move forgery localization detection and classification

Results in Engineering
Copy-move forgery is one of the most prevalent forms of digital image forgery. It violates the authenticity of digital images in the context of documentation, judicial reports, social media, military operations, journalism, intelligence, and so on ...
Anjani Kumar Rai, Subodh Srivastava
doaj   +1 more source