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Source Smartphone Identification Using Sensor Pattern Noise and Wavelet Transform

Corripio, J.R., Sandoval Orozco, A.L., Garcia Villalba, L.J., Hernandez-Castro, Julio C., 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 (Unpublished) (KAR id:37195)


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: Divisions > Division of Natural Sciences > Physics and Astronomy
Depositing User: Stuart Gibson
Date Deposited: 04 Dec 2013 15:48 UTC
Last Modified: 16 Nov 2021 10:13 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Hernandez-Castro, Julio C..

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CReDIT Contributor Roles:

Gibson, Stuart J..

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