Investigating the impact of drug induced pupil dilation on automated iris recognition

Tomeo-Reyes, Inmaculada, Ross, Arun, & Chandran, Vinod (2016) Investigating the impact of drug induced pupil dilation on automated iris recognition. In IEEE International Conference on Biometrics: Theory, Applications and Systems, 6-9 September 2016, Buffalo, New York.

Abstract

Recent research has demonstrated the negative impact of pupil dilation on iris recognition performance. Apart from light intensity changes, several factors such as alcohol, drugs, age, disease and psychology, are known to affect the size of the pupil. This work:

  • (1) analyzes the impact of drugs on pupil dilation;

  • (2) proposes the use of a biomechanical nonlinear iris normalization scheme along with key point-based feature matching for mitigating the impact of drug-induced pupil dilation on iris recognition, and;

  • (3) investigates differences between drug-induced and light-induced pupil dilation on iris recognition performance.

Experimental results indicate performance improvement when nonlinear normalization is used along with key point-based feature encoding for matching iris images with large differences in pupil size.

Impact and interest:

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ID Code: 99637
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Biometrics, Iris recognition, Pupil dilation, Mydriatic agent, Biomechanical model
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2016 [Please consult the author]
Deposited On: 04 Oct 2016 02:24
Last Modified: 09 Oct 2016 06:25

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