Spoofing PRNU Patterns of Iris Sensors while Preserving Iris Recognition

08/31/2018
by   Sudipta Banerjee, et al.
0

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.

READ FULL TEXT
research
06/15/2016

The ND-IRIS-0405 Iris Image Dataset

The Computer Vision Research Lab at the University of Notre Dame began c...
research
09/17/2020

Smartphone Camera De-identification while Preserving Biometric Utility

The principle of Photo Response Non Uniformity (PRNU) is often exploited...
research
03/29/2020

Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing

Using printed photograph and replaying videos of biometric modalities, s...
research
01/05/2018

Cross-Sensor Iris Recognition: LG4000-to-LG2200 Comparison

Cross-sensor comparison experimental results reported here show that the...
research
01/02/2021

One-shot Representational Learning for Joint Biometric and Device Authentication

In this work, we propose a method to simultaneously perform (i) biometri...
research
03/03/2018

A Benchmark for Iris Location and a Deep Learning Detector Evaluation

The iris is considered as the biometric trait with the highest unique pr...
research
11/29/2009

Pigment Melanin: Pattern for Iris Recognition

Recognition of iris based on Visible Light (VL) imaging is a difficult p...

Please sign up or login with your details

Forgot password? Click here to reset