DocumentCode :
3353736
Title :
SVD Based Source Cell-Phone Identification
Author :
Gul, Gokhan ; Avcibas, I.
Author_Institution :
Inst. for Circuits & Syst. Theor., Kiel Univ., Kiel, Germany
fYear :
2007
fDate :
11-13 June 2007
Firstpage :
1
Lastpage :
4
Abstract :
We propose a method for the identification of the source cellphone from a given image. The sensors, digital image formation pipeline and color filter interpolation algorithms used in different brands of cell-phones make the image unique to the camera. Our method is based on the analysis of strict and relative linear dependance in image rows and columns by the use of singular value decomposition (SVD). We define SVD based features that summarize macro and micro statistical properties of the images. These features are then used with support vector machines for the identification of the image sources. Experimental results show that we can identify 10 different sources with 93% accuracy.
Keywords :
cellular radio; filtering theory; image colour analysis; image sensors; singular value decomposition; statistical analysis; support vector machines; color filter interpolation algorithms; digital image formation pipeline; image sources identification; macro statistical properties; micro statistical properties; sensors; singular value decomposition; source cell-phone identification; support vector machines; Cellular phones; Digital cameras; Digital filters; Digital images; Image analysis; Image sensors; Interpolation; Pipelines; Singular value decomposition; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
Conference_Location :
Eskisehir
Print_ISBN :
1-4244-0719-2
Electronic_ISBN :
1-4244-0720-6
Type :
conf
DOI :
10.1109/SIU.2007.4298577
Filename :
4298577
Link To Document :
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