Abstract
The identification of image acquisition sources is an important problem in digital image forensics. This paper introduces a new feature-based method for digital camera identification. The method, which is based on an analysis of the imaging pipeline and digital camera processing operations, employs bi-coherence and wavelet coefficient features extracted from digital images. The sequential forward feature selection algorithm is used to select features, and a support vector machine is used as the classifier for source camera identification. Experiments indicate that the source camera identification method based on bi-coherence and wavelet coefficient features is both efficient and reliable.
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Meng, F., Kong, X., You, X. (2008). A New Feature-Based Method for Source Camera Identification. In: Ray, I., Shenoi, S. (eds) Advances in Digital Forensics IV. DigitalForensics 2008. IFIP — The International Federation for Information Processing, vol 285. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-84927-0_17
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DOI: https://doi.org/10.1007/978-0-387-84927-0_17
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