![](/images/graphics-bg.png)
CLIFD : a novel image forgery detection technique using digital signatures
Joint Authors
Source
Journal of Engineering Research
Issue
Vol. 9, Issue 1 (31 Mar. 2021), pp.168-175, 8 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2021-03-31
Country of Publication
Kuwait
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper is presenting a new image forgery detection technique.
The proposed technique makes use of digital signatures, it generates a digital signature for each column and embeds the signature in the least significant bits of selected pixels of each corresponding column.
The message digest five algorithm is used for digital signature generation and four least significant bits substitution mechanism is used to embed the signature in the designated pixels.
The embedding of the digital signature in the selected pixel remains completely innocent and undetectable for the human visual system.
The proposed forgery detection technique has demonstrated significant results against different types of forgeries introduced to digital images and successfully detected and pointed out the forged columns.
American Psychological Association (APA)
Khan, Sahib& Ali, Arslan. 2021. CLIFD : a novel image forgery detection technique using digital signatures. Journal of Engineering Research،Vol. 9, no. 1, pp.168-175.
https://search.emarefa.net/detail/BIM-1494761
Modern Language Association (MLA)
Khan, Sahib& Ali, Arslan. CLIFD : a novel image forgery detection technique using digital signatures. Journal of Engineering Research Vol. 9, no. 1 (Mar. 2021), pp.168-175.
https://search.emarefa.net/detail/BIM-1494761
American Medical Association (AMA)
Khan, Sahib& Ali, Arslan. CLIFD : a novel image forgery detection technique using digital signatures. Journal of Engineering Research. 2021. Vol. 9, no. 1, pp.168-175.
https://search.emarefa.net/detail/BIM-1494761
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 175
Record ID
BIM-1494761