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Random subspace method for source camera identification

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Li, Ruizhe, Kotropoulos, Constantine, Li, Chang-Tsun and Guan, Yu (2015) Random subspace method for source camera identification. In: 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP), Boston, MA, 17-20 Sep 2015. Published in: 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP) pp. 1-5. doi:10.1109/MLSP.2015.7324339

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Official URL: http://dx.doi.org/10.1109/MLSP.2015.7324339

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Abstract

Sensor pattern noise is an inherent fingerprint of imaging devices, which has been widely used for source camera identification, image classification, and forgery detection. In a previous work, we proposed a feature extraction method based on the principal component analysis denoising concept, which can enhance the performance of conventional SPN extraction methods. However, this method is vulnerable, because the training samples are seriously affected by the image content. Accordingly, it is difficult to train a reliable feature extractor by using such a training set. To address this problem, a camera identification framework based on the random subspace method and majority voting is proposed in this work. The experimental results show that the proposed solution can suppress the interference from scene details and enhance the performance in terms of the receiver operating characteristic curve.

Item Type: Conference Item (Paper)
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Journal or Publication Title: 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)
Book Title: 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)
Official Date: 2015
Dates:
DateEvent
2015Published
12 July 2015Accepted
Page Range: pp. 1-5
DOI: 10.1109/MLSP.2015.7324339
Status: Peer Reviewed
Publication Status: Published
Conference Paper Type: Paper
Title of Event: 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)
Type of Event: Workshop
Location of Event: Boston, MA
Date(s) of Event: 17-20 Sep 2015

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