Generation of iris sensor PRNU fingerprints from uncorrelated data

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 saturation, which are then used to calculate the fingerprint. Generating the desired data with iris sensors is not trivial, since they mostly have limited configuration options. These limitations come either by the sensor itself or by the software used to acquire the data. We describe how the desired images can be acquired with different iris sensors and illustrate the challenges and problems faced during the acquisition pro-cess. Finally the impact of the PRNU fingerprints calculated from the uncorrelated data on the device identification results is evaluated in respect to the usage of correlated data.

[1]  Mo Chen,et al.  Source digital camcorder identification using sensor photo response non-uniformity , 2007, Electronic Imaging.

[2]  Andreas Uhl,et al.  Experimental study on the impact of robust watermarking on iris recognition accuracy , 2010, SAC '10.

[3]  H. Farid.  A Survey of Image Forgery Detection , 2008 .

[4]  J. Fridrich.  Digital Image Forensics Using Sensor Noise , .

[5]  Chang-Tsun Li.  Source camera identification using enhanced sensor pattern noise , 2010, IEEE Trans. Inf. Forensics Secur..

[6]  Miroslav Goljan,et al.  Digital camera identification from sensor pattern noise , 2006, IEEE Transactions on Information Forensics and Security.

[7]  H. Farid,et al.  Image forgery detection , 2009, IEEE Signal Processing Magazine.

[8]  J. Fridrich,et al.  Digital image forensics , 2009, IEEE Signal Processing Magazine.

[9]  Mo Chen,et al.  Determining Image Origin and Integrity Using Sensor Noise , 2008, IEEE Transactions on Information Forensics and Security.

[10]  Jana Dittmann,et al.  Digital watermarking of biometric speech references: impact to the EER system performance , 2007, Electronic Imaging.

[11]  Andreas Uhl,et al.  Iris-sensor authentication using camera PRNU fingerprints , 2012, 2012 5th IAPR International Conference on Biometrics (ICB).

[12]  Md. Rajibul Islam,et al.  Biometric template protection using watermarking with hidden password encryption , 2008, 2008 International Symposium on Information Technology.