Paper Info
Title
Investigating the impact of drug induced pupil dilation on automated iris recognition
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.
Year
DOI
Venue
2016
10.1109/BTAS.2016.7791178
2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS)
Keywords
Field
DocType
drug induced pupil dilation,automated iris recognition,biomechanical nonlinear iris normalization scheme,point-based feature matching,key point-based feature encoding
Computer vision,Iris recognition,Pupillary response,Normalization (statistics),Computer science,Pupil,Feature matching,Artificial intelligence,Biometrics,Biomechanical model,Mydriatic Agent
Conference
ISSN
ISBN
Citations 
2474-9680
978-1-4673-9734-6
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Tomeo-Reyes, I.174.86
Arun Ross23096177.30
Vinod Chandran351461.49