A Feature-Based Forensic Procedure for Splicing Forgeries Detection
Joint Authors
Amerini, Irene
Becarelli, Rudy
Caldelli, Roberto
Casini, Matteo
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-27
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Nowadays, determining if an image appeared somewhere on the web or in a magazine or is authentic or not has become crucial.
Image forensics methods based on features have demonstrated so far to be very effective in detecting forgeries in which a portion of an image is cloned somewhere else onto the same image.
Anyway such techniques cannot be adopted to deal with splicing attack, that is, when the image portion comes from another picture that then, usually, is not available anymore for an operation of feature match.
In this paper, a procedure in which these techniques could also be employed will be shown to get rid of splicing attack by resorting to the use of some repositories of images available on the Internet like Google Images or TinEye Reverse Image Search.
Experimental results are presented on some real case images retrieved on the Internet to demonstrate the capacity of the proposed procedure.
American Psychological Association (APA)
Amerini, Irene& Becarelli, Rudy& Caldelli, Roberto& Casini, Matteo. 2015. A Feature-Based Forensic Procedure for Splicing Forgeries Detection. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1074404
Modern Language Association (MLA)
Amerini, Irene…[et al.]. A Feature-Based Forensic Procedure for Splicing Forgeries Detection. Mathematical Problems in Engineering No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1074404
American Medical Association (AMA)
Amerini, Irene& Becarelli, Rudy& Caldelli, Roberto& Casini, Matteo. A Feature-Based Forensic Procedure for Splicing Forgeries Detection. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1074404
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074404