Source Smartphone Identification Using Sensor Pattern Noise and Wavelet Transform

Corripio, J.R. and Sandoval Orozco, A.L. and Garcia Villalba, L.J. and Hernandez-Castro, Julio C. and Gibson, Stuart J. (2013) Source Smartphone Identification Using Sensor Pattern Noise and Wavelet Transform. In: The 5th International Conference on Imaging for Crime Detection and Prevention, 16th-17th December 2013, London, UK. (Unpublished) (Full text available)

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Abstract

The ability to identify the source camera for an image has application in the areas of digital forensics and multimedia data mining. The majority of previous research in this area has focused on primary function imaging devices (i.e. digital cameras). In this work we use the pattern noise of an imaging sensor to classify digital photographs according to the source smartphone from which they originated. This is timely work as new smartphone models large imaging sensors, affording significant improvements in classification rates using pattern noise. Our approach is to extract wavelet based features which are then classified using a support vector machine. We show that this method generalises well when the number of source cameras is increased.

Item Type: Conference or workshop item (Paper)
Subjects: Q Science > Q Science (General)
Divisions: Faculties > Sciences > School of Physical Sciences
Depositing User: Stuart Gibson
Date Deposited: 04 Dec 2013 15:48 UTC
Last Modified: 21 May 2014 09:08 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/37195 (The current URI for this page, for reference purposes)
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