Identification forgery image and image operation by FCM algorithm
Other Title(s)
كشف الصور المزورة و المعالجة للصور عن طريق خوارزميه العنقدة المضببة
Joint Authors
Ahmad, Hana Muhsin
Id, Huda Muhammad
Source
Issue
Vol. 2019, Issue 31 (30 Jun. 2019), pp.87-110, 24 p.
Publisher
Publication Date
2019-06-30
Country of Publication
Iraq
No. of Pages
24
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Digital images are easy to manipulate and edit due to availability of powerful image processing and editing software.
It is possible to add or remove important features from an image without leaving any obvious traces of tampering.
The structure of detection forgery image in general, includes some of basic stages, and the most important stage is extract features from image because these features is the basic to detected if an image original or not.
In this paper, we give a structural to build identification of anti-forensic detecting using steganalytic approaches feature vector.
To identify image anti_forensic and image processing.
Where several approaches of steganalysis that depend on feature based steganalytic, one of these is Image Quality Measured (IQM).
This goal can be achieved by using Fuzzy C Mean (FCM) and Euclidian distains (EU).
Results obtained from testing this system for identify forgery image and image operation was with accuracy of 94.8%.
American Psychological Association (APA)
Ahmad, Hana Muhsin& Id, Huda Muhammad. 2019. Identification forgery image and image operation by FCM algorithm. al-Mansour،Vol. 2019, no. 31, pp.87-110.
https://search.emarefa.net/detail/BIM-947681
Modern Language Association (MLA)
Ahmad, Hana Muhsin& Id, Huda Muhammad. Identification forgery image and image operation by FCM algorithm. al-Mansour No. 31 (2019), pp.87-110.
https://search.emarefa.net/detail/BIM-947681
American Medical Association (AMA)
Ahmad, Hana Muhsin& Id, Huda Muhammad. Identification forgery image and image operation by FCM algorithm. al-Mansour. 2019. Vol. 2019, no. 31, pp.87-110.
https://search.emarefa.net/detail/BIM-947681
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 106-109
Record ID
BIM-947681