dc.contributor.author |
Sheth, Kinjal |
|
dc.contributor.author |
Vora, Vishal |
|
dc.date.accessioned |
2023-05-17T02:32:25Z |
|
dc.date.available |
2023-05-17T02:32:25Z |
|
dc.date.issued |
2023-04 |
|
dc.identifier.citation |
Sheth, K. ,Vora, V.(2023). A comparative study on image forgery-facial retouching. Bulletin of Electrical Engineering and Informatics Vol. 12, No. 2, April 2023, pp. 851~859 ISSN: 2302-9285, DOI: 10.11591/eei.v12i2.4481 |
en_US |
dc.identifier.issn |
2302-9285 |
|
dc.identifier.uri |
http://10.9.150.37:8080/dspace//handle/atmiyauni/976 |
|
dc.description.abstract |
Forgery with the digital images is being very easy now days due to the very
advanced and open source image editing tools, software and devises which
supports a high quality of resolutions. Tempering with digital documents for
changing identity or sometimes for fun is increasing day by day as the era is
of digital world. Detecting clues of tampering and verifying the authenticity
of images is an important issues now-a-days and growing research field. The
existing research in the area of digital image forgery identification is
discussed here. Different types of image forgery attacks along with its
detection and classification are discussed too. A general review of facial
image authentication is studied and discussed here along with the current
methods and techniques for the detection and classification. A comparative
analysis is presented here for the researchers as a mind mapping to work in
the same field. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Bulletin of Electrical Engineering and Informatics |
en_US |
dc.subject |
Active forgery |
en_US |
dc.subject |
Detection |
en_US |
dc.subject |
Image forgery |
en_US |
dc.subject |
Passive forgery |
en_US |
dc.subject |
Retouching |
en_US |
dc.title |
A comparative study on image forgery-facial retouching |
en_US |
dc.type |
Article |
en_US |