Statistical features based optimized technique for copy move forgery detection

SBGT Babu, CS Rao - 2020 11th International Conference on …, 2020 - ieeexplore.ieee.org
Copy Move Forgery Detection (CMFD) is helpful to detect copied and pasted areas in one
image, it plays a crucial role in legal evidence, forensic investigation and in many more …

Forgery detection in digital images via discrete wavelet and discrete cosine transforms

K Hayat, T Qazi - Computers & Electrical Engineering, 2017 - Elsevier
When an image is forged through some sophisticated software editing tool, with
imperceptibility being the goal, the idea is not to leave any observable trace that may help to …

A novel mobile robot localization approach based on topological maps using classification with reject option in omnidirectional images

LB Marinho, JS Almeida, JWM Souza… - Expert Systems with …, 2017 - Elsevier
Mobile robot localization, which allows a robot to identify its position, is one of main
challenges in the field of Robotics. In this work, we provide an evaluation of consolidated …

Copy-move forgery detection based on multifractals

A Pavlović, N Glišović, A Gavrovska, I Reljin - Multimedia Tools and …, 2019 - Springer
Digital images and video are the basic media for communication nowadays. They are used
as authenticated proofs or corroboratory evidence in different areas like: forensic studies …

A hybrid technique to discriminate Natural Images, Computer Generated Graphics Images, Spliced, Copy Move tampered images and Authentic images by using …

S Sharma, U Ghanekar - Optik, 2018 - Elsevier
The paper presents a novel technique in the field of image forensics. The proposed
algorithm is able to differentiate between computer generated images (CGIs), natural …

An efficient image forgery detection using biorthogonal wavelet transform and improved relevance vector machine

NK Jain, NK Rathore, A Mishra - Wireless Personal Communications, 2018 - Springer
Nowadays, the development of refined image processing and software editing tools has
finish the exploitation of digital images easily and invisible the image to the normal eyes and …

Exploration of Bonafide and Spoofed Audio Classification Using Machine Learning Models

N Babu, P Kumar, J Mathew… - 2022 IEEE 19th India …, 2022 - ieeexplore.ieee.org
Recently, it has been shown that most automatic speaker verification systems (ASV) are
vulnerable to various spoofing attacks. These spoofing attacks can be divided into three …

Enhanced K-means clustering technique based copy-move image forgery detection

TJ Shah - Turkish Journal of Computer and Mathematics …, 2021 - turcomat.org
Currently, different methods such as copy-move, image morphing, image splicing, image
retouching, etc. are used to alter digital images. Among them, copy-move image forgery is …

Towards recent developments in the field of digital image forgery detection

T Kumar, G Khurana - International Journal of Computer …, 2018 - inderscienceonline.com
Proliferation of powerful computers, innovative photo-editing software packages, and high
resolution capturing devices leads to effortlessness in generating digital image falsification …

Simulated analysis of using artificial neural network to identify fake images based on metadata

R Kumar - IOP Conference Series: Materials Science and …, 2021 - iopscience.iop.org
Many phony pictures are spreading through advanced media these days. Identification of
such phony pictures is unavoidable for the revealing of the picture based cybercrimes …