Robust iris recognition using decision fusion and degradation modelling

Tomeo Reyes, Inmaculada (2015) Robust iris recognition using decision fusion and degradation modelling. PhD thesis, Queensland University of Technology.


This thesis investigates the use of fusion techniques and mathematical modelling to increase the robustness of iris recognition systems against iris image quality degradation, pupil size changes and partial occlusion. The proposed techniques improve recognition accuracy and enhance security. They can be further developed for better iris recognition in less constrained environments that do not require user cooperation. A framework to analyse the consistency of different regions of the iris is also developed. This can be applied to improve recognition systems using partial iris images, and cancelable biometric signatures or biometric based cryptography for privacy protection.

Impact and interest:

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Full-text downloads:

45 since deposited on 14 Dec 2015
45 in the past twelve months

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ID Code: 89221
Item Type: QUT Thesis (PhD)
Supervisor: Chandran, Vinod & Boles, Wageeh
Keywords: Biometrics, Iris recognition, Iris degradations, Obfuscation attacks, Robustness, Consistent bits, Decision fusion, Pupil dilation, Biomechanical model, Iris normalisation
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Institution: Queensland University of Technology
Deposited On: 14 Dec 2015 06:33
Last Modified: 21 Mar 2016 05:35

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