Li, Ruizhe, Li, Chang-Tsun and Guan, Yu (2015) A compact representation of sensor fingerprint for camera identification and fingerprint matching. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), South Brisbane, QLD, 19-24 Apr 2015. Published in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015) doi:10.1109/ICASSP.2015.7178276

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Abstract

Sensor Pattern Noise (SPN) has been proved as an effective fingerprint of imaging devices to link pictures to the cameras that acquired them. In practice, forensic investigators usually extract this camera fingerprint from large image block to improve the matching accuracy because large image blocks tend to contain more SPN information. As a result, camera fingerprints usually have a very high dimensionality. However, the high dimensionality of fingerprint will incur a costly computation in the matching phase, thus hindering many interesting applications which require an efficient real-time camera matching. To solve this problem, an effective feature extraction method based on PCA and LDA is proposed in this work to compress the dimensionality of camera fingerprint. Our experimental results show that the proposed feature extraction algorithm could greatly reduce the size of fingerprint and enhance the performance in term of Receiver Operating Characteristic (ROC) curve of several existing methods.

Item Type:	Conference Item (Paper)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH):	Fingerprints, Pattern recognition systems, Biometric identification, Image processing -- Digital techniques, Signal processing -- Digital techniques, Fingerprints -- Classification, Fingerprints -- Data processing
Journal or Publication Title:	IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)
Publisher:	IEEE
Official Date:	19 April 2015
Dates:	Date Event 19 April 2015 Published
DOI:	10.1109/ICASSP.2015.7178276
Status:	Peer Reviewed
Publication Status:	Published
Conference Paper Type:	Paper
Title of Event:	IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)
Type of Event:	Conference
Location of Event:	South Brisbane, QLD
Date(s) of Event:	19-24 Apr 2015

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