Machine learning in digital forensics: a systematic literature review

T Nayerifard, H Amintoosi, AG Bafghi… - arXiv preprint arXiv …, 2023 - arxiv.org
Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …

An image recapture detection algorithm based on learning dictionaries of edge profiles

T Thongkamwitoon, H Muammar… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
With today's digital camera technology, high-quality images can be recaptured from an liquid
crystal display (LCD) monitor screen with relative ease. An attacker may choose to recapture …

[PDF][PDF] Image recapture detection with convolutional and recurrent neural networks

H Li, S Wang, AC Kot - Electronic Imaging, 2017 - library.imaging.org
In this paper, we aim to address the image recapturing detection problem with the
convolutional and recurrent neural networks. With the advances of image display and …

A diverse large-scale dataset for evaluating rebroadcast attacks

S Agarwal, W Fan, H Farid - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
We describe the acquisition of a large, diverse set of rebroadcast images captured by a
screen-grab, scanning a printed photo, or rephotographing a displayed or a printed photo …

Recaptured screen image identification based on vision transformer

G Li, H Yao, Y Le, C Qin - Journal of Visual Communication and Image …, 2023 - Elsevier
Due to the copyright issues often involved in the recapture of LCD screen content,
recaptured screen image identification has received lots of concerns in image source …

Recapture detection technique based on edge-types by analysing high-frequency components in digital images acquired through LCD screens

A Anjum, S Islam - Multimedia tools and applications, 2020 - Springer
Digital images are part of our lives but with the advancement of technology, the authenticity
of images is in doubt. Image editing tools are used to tamper images and high-quality …

Document recapture detection based on a unified distortion model of halftone cells

Z Hu, C Chen, WH Mow, J Huang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In recent years, digital copies of paper documents are used widely with the prevalence of
various online services. As a result, it is critical to validate the authenticity of the uploaded …

Two-branch multi-scale deep neural network for generalized document recapture attack detection

J Li, C Kong, S Wang, H Li - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
The image recapture attack is an effective image manipulation method to erase certain
forensic traces, and when targeting on personal document images, it poses a great threat to …

Near-duplicate detection for LCD screen acquired images using edge histogram descriptor

P Mehta, RK Tripathi - Multimedia Tools and Applications, 2022 - Springer
The expressive ability of digital visual media with the simplicity of their acquisition,
processing, distribution, manipulation, and storage is such that they are utilized more to …

Domain Generalized Recaptured Screen Image Identification Using SWIN Transformer

P Mehta, A Sagar, S Kumari - arXiv preprint arXiv:2407.17170, 2024 - arxiv.org
An increasing number of classification approaches have been developed to address the
issue of image rebroadcast and recapturing, a standard attack strategy in insurance frauds …