Image Hash Minimization for Tamper Detection
Computer Vision and Pattern Recognition
2023-05-30 v1 Image and Video Processing
Abstract
Tamper detection using image hash is a very common problem of modern days. Several research and advancements have already been done to address this problem. However, most of the existing methods lack the accuracy of tamper detection when the tampered area is low, as well as requiring long image hashes. In this paper, we propose a novel method objectively to minimize the hash length while enhancing the performance at low tampered area.
Cite
@article{arxiv.2305.17748,
title = {Image Hash Minimization for Tamper Detection},
author = {Subhajit Maity and Ram Kumar Karsh},
journal= {arXiv preprint arXiv:2305.17748},
year = {2023}
}
Comments
Published at the 9th International Conference on Advances in Pattern Recognition, 2017