PRNU-based image alignment for defective pixel detection

Christof Kauba, Andreas Uhl
2016 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS)  
Image alignment or registration is needed for many tasks. Conventional techniques are based on the image content. For forensic purposes where the characteristics of the image sensor itself are investigated, alignment has to be done based on the pixel grid the sensor used to capture the images. Biometric sensor analysis is one example for which this kind of alignment is needed. Our method utilises the photo response non uniformity (PRNU) fingerprint of the biometric sensor to align the images.
more » ... align the images. At first the PRNU noise residual is extracted and enhanced. Then the shifts of the images are corrected by determining peaks in the normalised cross correlation results of the individual images. One possible use case where such aligned images are needed is the detection of sensor ageing related pixel defects in the scope of the biometric template ageing phenomenon but our approach can be useful for many other tasks in the field of biometric sensor analysis.
doi:10.1109/btas.2016.7791195 dblp:conf/btas/KaubaU16 fatcat:o24elorp5bgwvcttd2ptich22y