@article{MAKHILLIJSC202015121476,
    title = {Copy-Move Image Forgery Detection Techniques: A Literature Survey},
    journal = {International Journal of Soft Computing},
    volume = {15},
    number = {1},
    pages = {13-19},
    year = {2020},
    issn = {1816-9503},
    doi = {ijscomp.2020.13.19},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2020.13.19},
    author = {Hesham,Abdelfatah and},
    keywords = {Copy-move forgery,image forgery,forgery detection techniques,forgery attacks,block based,key point based},
    abstract = {Digital image editing tools establishing the
authenticity of multimedia content have become a
challenging issue where creating digital image forgeries
has become easier. Digital image forensics is an
increasingly growing research field that deals with the
detection of the cyber-crime and forgery by investigation
of digital evidences. Thus, law enforcement and forensics
experts require reliable and efficient means of detecting
Image forgery. Copy move Image Forgery is one of the
most common forgeries which is used to hide some
important information, object or duplicate apart of the
same image where some parts of the image is copied and
pasted to another part in the same image. This type of
forgery is more difficult than other ones because the
copied part has the same characteristics as it belongs to
the same image. This study presents a survey of various
image forgery detection techniques.}
    }