Publications

@article{bennabhaktula_device-based_2020,

title = {Device-based image matching with similarity learning by convolutional neural networks that exploit the underlying camera sensor pattern noise},

author = {Guru Swaroop Bennabhaktula and Enrique Alegre and Dimka Karastoyanova and George Azzopardi},

url = {https://arxiv.org/abs/2004.11443},

year  = {2020},

date = {2020-01-01},

journal = {arXiv preprint arXiv:2004.11443},

abstract = {This paper addresses the challenge of identifying whether two images originate from the same camera, aiding forensic investigations. A two-part network is proposed to quantify the likelihood of a shared source, evaluated on the Dresden dataset (1851 images from 31 cameras). While not yet forensics-ready, the approach achieves 85% accuracy, showing promising results. This research is part of the EU-funded 4NSEEK project focused on combating child sexual abuse.},

keywords = {4NSEEK project, Camera Identification, deep learning, DigitalImage Forensics},

pubstate = {published},

tppubtype = {article}

}