Spoofing PRNU Patterns of Iris Sensors while Preserving Iris Recognition

TL;DR

This paper presents a method to modify iris images so their sensor-specific PRNU patterns are spoofed to match a different sensor, without losing biometric recognition capabilities.

Contribution

The authors develop an iterative pixel modification technique to spoof PRNU patterns of iris images, enabling sensor spoofing while preserving iris recognition accuracy.

Findings

Effective PRNU pattern spoofing demonstrated

Biometric recognition performance retained

Method successfully fools sensor identification systems

Abstract

The principle of Photo Response Non-Uniformity (PRNU) is used to link an image with its source, i.e., the sensor that produced it. In this work, we investigate if it is possible to modify an iris image acquired using one sensor in order to spoof the PRNU noise pattern of a different sensor. In this regard, we develop an image perturbation routine that iteratively modifies blocks of pixels in the original iris image such that its PRNU pattern approaches that of a target sensor. Experiments indicate the efficacy of the proposed perturbation method in spoofing PRNU patterns present in an iris image whilst still retaining its biometric content.