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Identifying the source camera of a digital image using the photo response non-uniformity (PRNU) is known as camera identification. Since digital image sensors are widely used in biometrics, it is natural to perform this investigation with biometric sensors. In this study, the authors focus on a slightly different task, which consists in clustering images with the same source sensor in a data set possibly...
Identifying the source camera which acquired a given image using the cameras PRNU is a well established task in image forensics, known as camera or device identification. Since digital image sensors are widely used to acquire biometric data, it is eligible that this task can also be performed with biometric sensors and the respective data. This has already been studied in literature. In this paper...
Previous device identification studies on the iris sensors of the CASIA-Iris V4 database using PRNU fingerprints showed high variations regarding the differentiability of the sensors. These variations may have been caused by the usage of multiple sensors of the same model for the image acquisition. Since no speciic documentation on this exists we investigate the presence of multiple image sensors...
The photo response non-uniformity (PRNU) of a sensor can be useful to enhance a biometric systems security by ensuring the authenticity and integrity of images acquired with a biometric sensor, e.g. by performing a source device identification. Previous studies regarding the feasibility of this application have been conducted on the CASIA-Iris V4 database by studying the differentiability of the sensors...
Similar to the impact of ageing on human beings, digital image sensors develop ageing effects over time. Since these imager's ageing effects (commonly denoted as pixel defects) leave marks in the captured images, it is not clear whether this affects the accuracy of iris recognition systems. This paper proposes a method to investigate the influence of sensor ageing on iris recognition by simulative...
The photo response non-uniformity (PRNU) of a sensor can be used for various forensic tasks, such as source device identification, source device linking, classification of images taken by unknown cameras, integrity verification, authentication. To ensure good results a high quality PRNU fingerprint of the sensor is needed. This can be achieved by acquiring images with uncorrelated content and high...
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