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Smartphone image acquisition forensics using sensor fingerprint

Sandoval Orozco, Ana Lucila, Garcia Villalba, Luis Javier, Arenas Gonzalez, David Manuel, Rosales Corripio, Jocelin, Hernandez-Castro, Julio C., Gibson, Stuart James (2015) Smartphone image acquisition forensics using sensor fingerprint. Institute of Engineering and Technology, Computer Vision,, 9 (5). pp. 723-731. ISSN 1751-9632. E-ISSN 1751-9640. (doi:10.1049/iet-cvi.2014.0243) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:53396)

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Abstract

The forensic analysis of digital images from mobile devices is particularly important

given their quick expansion and everyday use in the society. A further consequence of

digital images' widespread use is that they are used today as silent witnesses in legal

proceedings, as crucial evidence of the crime. This study specifically addresses the

description of a technique that allows the identification of the image source acquisition, for

the specific case of mobile devices images. This approach is to extract wavelet-based ...

Item Type: Article
DOI/Identification number: 10.1049/iet-cvi.2014.0243
Uncontrolled keywords: digital image; image classification; image source acquisition identification; mobile devices; sensor fingerprint; sensor pattern noise; smartphone image acquisition forensics; support vector machine; wavelet-based feature extraction;
Subjects: Q Science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Stuart Gibson
Date Deposited: 14 Dec 2015 15:08 UTC
Last Modified: 17 Aug 2022 11:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/53396 (The current URI for this page, for reference purposes)

University of Kent Author Information

Hernandez-Castro, Julio C..

Creator's ORCID: https://orcid.org/0000-0002-6432-5328
CReDIT Contributor Roles:

Gibson, Stuart James.

Creator's ORCID: https://orcid.org/0000-0002-7981-241X
CReDIT Contributor Roles:
  • Depositors only (login required):

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