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Blind Camera Fingerprinting and Image Clustering
March 2008 (vol. 30 no. 3)
pp. 532-534
ASCII Text
x 
 
Greg J. Bloy, "Blind Camera Fingerprinting and Image Clustering," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 3, pp. 532-534, March, 2008.
 
 
BibTex
x
 
@article{ 10.1109/TPAMI.2007.1183,
author = {Greg J. Bloy},
title = {Blind Camera Fingerprinting and Image Clustering},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {30},
number = {3},
issn = {0162-8828},
year = {2008},
pages = {532-534},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2007.1183},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - Blind Camera Fingerprinting and Image Clustering
IS - 3
SN - 0162-8828
SP532
EP534
EPD - 532-534
A1 - Greg J. Bloy,
PY - 2008
KW - clustering algorithms
KW - forensics
KW - image processing
KW - pattern recognition
KW - machine learning
VL - 30
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 
Previous studies have shown how to "fingerprint" a digital camera given a set of images known to come from the camera. A clustering technique is proposed to construct such fingerprints from a mixed set of images, enabling identification of each image's source camera without any prior knowledge of source.

[1] Z.J. Geradts et al., “Methods for Identification of Images Acquired with Digital Cameras,” Proc. SPIE Enabling Technologies for Law Enforcement and Security, vol. 4232, 2001.
[2] J. Lukáš, J. Fridrich, and M. Goljan, “Determining Digital Image Origin Using Sensor Imperfections,” Proc. SPIE Electronic Imaging, Image and Video Communication, and Processing, pp. 249-260, Jan. 2005.
[3] J. Lukáš, J. Fridrich, and M. Goljan, “Digital ‘Bullet Scratches’ for Images,” Proc. Int'l Conf. Image Processing, Sept. 2005.
[4] J. Lukáš, J. Fridrich, and M. Goljan, “Determining Digital Image Origin Using Sensor Imperfections,” IEEE Trans. Information Forensics and Security, vol. 1, no. 2, pp. 205-214, June 2006.
[5] S. Kundu, “Gravitational Clustering: A New Approach Based on the Spatial Distribution of the Points,” Pattern Recognition, vol. 32, no. 7, pp. 1149-1160, 1999.

Index Terms:
clustering algorithms, forensics, image processing, pattern recognition, machine learning
Citation:
Greg J. Bloy, "Blind Camera Fingerprinting and Image Clustering," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 3, pp. 532-534, March 2008, doi:10.1109/TPAMI.2007.1183
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