A compact representation of sensor fingerprint for camera identification and fingerprint matching

Ruizhe Li, Chang Tsun Li, Yu Guan

Research output: Book chapter/Published conference paperConference paper

8 Citations (Scopus)
4 Downloads (Pure)

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.
Original languageEnglish
Title of host publication2015 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1777-1781
Number of pages5
Volume2015-August
ISBN (Electronic)9781467369978
DOIs
Publication statusPublished - 04 Aug 2015
Event2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Brisbane Convention & Exhibition Centre, Brisbane, Australia
Duration: 19 Apr 201524 Apr 2015

Conference

Conference2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
CountryAustralia
CityBrisbane
Period19/04/1524/04/15

Fingerprint

Cameras
Sensors
Feature extraction
Phase matching
Imaging techniques

Cite this

Li, R., Li, C. T., & Guan, Y. (2015). A compact representation of sensor fingerprint for camera identification and fingerprint matching. In 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings (Vol. 2015-August, pp. 1777-1781). [7178276] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICASSP.2015.7178276
Li, Ruizhe ; Li, Chang Tsun ; Guan, Yu. / A compact representation of sensor fingerprint for camera identification and fingerprint matching. 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings. Vol. 2015-August IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 1777-1781
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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.",
keywords = "Digital forensics, PCA denoising, Photo-response nonuniformity noise, Sensor pattern noise",
author = "Ruizhe Li and Li, {Chang Tsun} and Yu Guan",
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Li, R, Li, CT & Guan, Y 2015, A compact representation of sensor fingerprint for camera identification and fingerprint matching. in 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings. vol. 2015-August, 7178276, IEEE, Institute of Electrical and Electronics Engineers, pp. 1777-1781, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, 19/04/15. https://doi.org/10.1109/ICASSP.2015.7178276

A compact representation of sensor fingerprint for camera identification and fingerprint matching. / Li, Ruizhe; Li, Chang Tsun; Guan, Yu.

2015 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings. Vol. 2015-August IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 1777-1781 7178276.

Research output: Book chapter/Published conference paperConference paper

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Li R, Li CT, Guan Y. A compact representation of sensor fingerprint for camera identification and fingerprint matching. In 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings. Vol. 2015-August. IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 1777-1781. 7178276 https://doi.org/10.1109/ICASSP.2015.7178276