@inproceedings{9a1d14b1d7d04d4b952fff67a1b71fd9,
title = "Digital image forgery detection based on shadow HSV inconsistency",
abstract = "During the last decade digital images have spread to all facets of human life. One of the main advantages of digital images is wide availability of powerful digital image processing tools. However, this power and availability also facilitates simplicity of forgery of digital images where it is very easy to insert part of one image into another image. Digital image forensics has to deal with such situations. In this paper we propose an algorithm for digital image forgery detection based on shadow inconsistencies of HSV components. The advantage of using these features is rotational invariance and simplicity. We tested our proposed algorithm on forged images used in literature and the algorithm was successful in forgery detection in all cases.",
keywords = "Digital image processing, HSV components, Image forgery detection, Shadow inconsistency",
author = "Viktor Tuba and Raka Jovanovic and Milan Tuba",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 5th International Symposium on Digital Forensic and Security, ISDFS 2017 ; Conference date: 26-04-2017 Through 28-04-2017",
year = "2017",
month = may,
day = "1",
doi = "10.1109/ISDFS.2017.7916505",
language = "English",
series = "2017 5th International Symposium on Digital Forensic and Security, ISDFS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Bela Genge and Piroska Haller",
booktitle = "2017 5th International Symposium on Digital Forensic and Security, ISDFS 2017",
address = "United States",
}