Digital camera identification using PRNU: A feature based approach

Akshatha, K R and Karunakar, A K and Anitha, H and Raghavendra, U and Shetty, Dinesh (2016) Digital camera identification using PRNU: A feature based approach. Digital Investigation, 19. pp. 69-77.

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Source camera identification is one of the emerging field in digital image forensics, which aims at identifying the source camera used for capturing the given image. The technique uses photo response non-uniformity (PRNU) noise as a camera fingerprint, as it is found to be one of the unique characteristic which is capable of distinguishing the images even if they are captured from similar cameras. Most of the existing PRNU based approaches are very sensitive to the random noise components existing in the estimated PRNU, and also they are not robust when some simple manipulations are performed on the images. Hence a new feature based approach of PRNU is proposed for the source camera identification by choosing the features which are robust for image manipulations. The PRNU noise is extracted from the images using wavelet based denoising method and is represented by higher order wavelet statistics (HOWS), which are invariant features for image manipulations and geometric variations. The features are fed to support vector machine classifiers to identify the originating source camera for the given image and the results have been verified by performing ten-fold cross validation technique. The experiments have been carried out using the images captured from various cell phone cameras and it demonstrated that the proposed algorithm is capable of identifying the source camera of the given image with good accuracy. The developed technique can be used for differentiating the images, even if they are captured from similar cameras, which belongs to same make and model. The analysis have also showed that the proposed technique remains robust even if the images are subjected to simple manipulations or geometric variations

Item Type: Article
Uncontrolled Keywords: Source camera identification (SCI) Photo response non-uniformity (PRNU) Higher order wavelet statistics (HOWS) Support vector machines (SVM) Cross validation
Subjects: Engineering > MIT Manipal > Electronics and Communication
Engineering > MIT Manipal > Instrumentation and Control
Engineering > MIT Manipal > MCA
Depositing User: MIT Library
Date Deposited: 29 Nov 2016 13:25
Last Modified: 29 Nov 2016 13:25

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